Luxoft

Project description

Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.

The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

Responsibilities

Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.

Build and optimize CI/CD pipelines to support automated and secure software delivery.

Deploy and manage applications using Docker and Kubernetes.

Manage secrets, privileged access, and artifact repositories.

Implement security, monitoring, logging, and disaster recovery best practices.

Collaborate with engineering and security teams to improve platform reliability and security.

Support cloud migrations and infrastructure hardening initiatives.

Skills

Must have

Strong experience in DevOps engineering (5-7 years)

Experience with AWS security services and compliance frameworks

Strong experience containerizing applications using Docker

Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)

Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)

Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions

Experience implementing automated build, test, deployment, and release pipelines

Nice to have

Hands-on experience in using AI tools (e.g., GitHub Copilot)

Familiarity with financial services / clearing / trading platforms

Project description

Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.

The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

Responsibilities

Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.

Build and optimize CI/CD pipelines to support automated and secure software delivery.

Deploy and manage applications using Docker and Kubernetes.

Manage secrets, privileged access, and artifact repositories.

Implement security, monitoring, logging, and disaster recovery best practices.

Collaborate with engineering and security teams to improve platform reliability and security.

Support cloud migrations and infrastructure hardening initiatives.

Skills

Must have

Strong experience in DevOps engineering (10+ years)

Experience with AWS security services and compliance frameworks

Strong experience containerizing applications using Docker

Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)

Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)

Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions

Experience implementing automated build, test, deployment, and release pipelines

Nice to have

Hands-on experience in using AI tools (e.g., GitHub Copilot)

Familiarity with financial services / clearing / trading platforms

Other

Languages

English: C1 Advanced

Project Description:

Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.

The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

Responsibilities:

- Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
- Build and optimize CI/CD pipelines to support automated and secure software delivery.
- Deploy and manage applications using Docker and Kubernetes.
- Manage secrets, privileged access, and artifact repositories.
- Implement security, monitoring, logging, and disaster recovery best practices.
- Collaborate with engineering and security teams to improve platform reliability and security.
- Support cloud migrations and infrastructure hardening initiatives.

Mandatory Skills Description:

- Strong experience in DevOps engineering 
- Experience with AWS security services and compliance frameworks
- Strong experience containerizing applications using Docker
- Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
- Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
- Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
- Experience implementing automated build, test, deployment, and release pipelines

Nice-to-Have Skills Description:

- Hands-on experience in using AI tools (e.g., GitHub Copilot)
- Familiarity with financial services / clearing / trading platforms

• Project Description:

  Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.
  
  The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

• Mandatory Skills Description:

  - Strong experience in DevOps engineering (10+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

• Nice-to-Have Skills Description:

  - Hands-on experience in using AI tools (e.g., GitHub Copilot)
  - Familiarity with financial services / clearing / trading platforms

• Languages:
  • English: C1 Advanced

• Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.
  
  The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

   

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

   

• Mandatory Skills Description:

  - Strong experience in DevOps engineering (7-8+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

   

• Nice-to-Have Skills Description:

  - Hands-on experience in using AI tools (e.g., GitHub Copilot)
  - Familiarity with financial services / clearing / trading platforms

   

• Languages:
  • English: C1 Advanced

Our client is a global provider of financial market data, managing multiple change programs to deliver high-quality software that connects financial markets worldwide through real-time, high-frequency, low-latency data management systems. These projects are technically demanding and operate in a dynamic environment.

The Real-Time division has initiated a Cyber Security Issues Remediation program to address critical security vulnerabilities across its cloud infrastructure and deployment pipelines. The objective is to remediate identified security issues, harden CI/CD pipelines, implement security best practices, and strengthen the overall security posture of the Real-Time platform on AWS.

• Responsibilities:

  - Identify and resolve security vulnerabilities in AWS infrastructure, applications, and CI/CD pipelines.
  - Build and optimize CI/CD pipelines to support automated and secure software delivery.
  - Deploy and manage applications using Docker and Kubernetes.
  - Manage secrets, privileged access, and artifact repositories.
  - Implement security, monitoring, logging, and disaster recovery best practices.
  - Collaborate with engineering and security teams to improve platform reliability and security.
  - Support cloud migrations and infrastructure hardening initiatives.

• Mandatory Skills Description:

  - Strong experience in DevOps engineering (10+ years)
  - Experience with AWS security services and compliance frameworks
  - Strong experience containerizing applications using Docker
  - Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS)
  - Hands-on experience with HashiCorp Vault and PAM (Privileged Access Management)
  - Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions
  - Experience implementing automated build, test, deployment, and release pipelines

• Nice-to-Have Skills Description:

  - Hands-on experience in using AI tools (e.g., GitHub Copilot)
  - Familiarity with financial services / clearing / trading platforms

Project description

Join a team developing an enterprise-grade agentic AI platform that leverages AI agents, tools, skills, and orchestration capabilities to automate cybersecurity and business processes. The project involves building and enhancing modern GenAI solutions using technologies such as Python, Azure, RAG, MCP integrations, CI/CD, observability, and scalable cloud-native architectures. You will work on designing, developing, and industrializing advanced agent-based AI applications, contributing to new use cases, integrations, security features, and platform evolution.

Responsibilities

Design, develop, and maintain full-stack applications using Python, FastAPI, and React.

Build and enhance Agentic AI solutions leveraging LLMs, LangChain, LangGraph, and AI orchestration frameworks.

Develop backend services, APIs, and integrations with external systems and AI tools.

Design and optimize data models and queries in PostgreSQL.

Implement caching, session management, and performance optimization using Redis.

Collaborate with architects, DevOps engineers, and product stakeholders to deliver scalable solutions.

Ensure code quality through testing, code reviews, and adherence to engineering best practices.

Contribute to system observability, monitoring, troubleshooting, and platform reliability.

Participate in solution design and technical leadership.

Support CI/CD processes and cloud-native application deployment.

Skills

Must have

7+ years of professional software development experience.

Strong expertise in Python and modern backend development.

Experience with FastAPI and RESTful API design.

Strong frontend development experience with React.js.

Hands-on experience building Agentic AI applications.

Practical experience with LLMs (OpenAI, Azure OpenAI, Anthropic, or similar), LangChain, LangGraph, Langfuse.

Strong knowledge of PostgreSQL.

Experience with Redis.

Understanding of software architecture, design patterns, and scalable distributed systems.

Experience with Git, CI/CD pipelines, and modern development practices.

Good communication skills and ability to work in an international environment.

English: B2 or higher.

Nice to have

Experience with security testing, application security, or secure coding practices (preferred).

Experience with Azure cloud services.

Experience with RAG (Retrieval-Augmented Generation) architectures.

Knowledge of Docker, Kubernetes, and cloud-native deployments.

Exposure to cybersecurity, vulnerability management, or enterprise security platforms.

Join a team developing an enterprise-grade agentic AI platform that leverages AI agents, tools, skills, and orchestration capabilities to automate cybersecurity and business processes. The project involves building and enhancing modern GenAI solutions using technologies such as Python, Azure, RAG, MCP integrations, CI/CD, observability, and scalable cloud-native architectures. You will work on designing, developing, and industrializing advanced agent-based AI applications, contributing to new use cases, integrations, security features, and platform evolution.

• Responsibilities:

  * Design, develop, and maintain full-stack applications using Python, FastAPI, and React.
  * Build and enhance Agentic AI solutions leveraging LLMs, LangChain, LangGraph, and AI orchestration frameworks.
  * Develop backend services, APIs, and integrations with external systems and AI tools.
  * Design and optimize data models and queries in PostgreSQL.
  * Implement caching, session management, and performance optimization using Redis.
  * Collaborate with architects, DevOps engineers, and product stakeholders to deliver scalable solutions.
  * Ensure code quality through testing, code reviews, and adherence to engineering best practices.
  * Contribute to system observability, monitoring, troubleshooting, and platform reliability.
  * Participate in solution design and technical leadership.
  * Support CI/CD processes and cloud-native application deployment.

• Mandatory Skills Description:

  * 7+ years of professional software development experience.
  * Strong expertise in Python and modern backend development.
  * Experience with FastAPI and RESTful API design.
  * Strong frontend development experience with React.js.
  * Hands-on experience building Agentic AI applications.
  * Practical experience with LLMs (OpenAI, Azure OpenAI, Anthropic, or similar), LangChain, LangGraph, Langfuse.
  * Strong knowledge of PostgreSQL.
  * Experience with Redis.
  * Understanding of software architecture, design patterns, and scalable distributed systems.
  * Experience with Git, CI/CD pipelines, and modern development practices.
  * Good communication skills and ability to work in an international environment.
  * English: B2 or higher.

• Our client is a leading global Financial markets data provider who runs a number of change programs to deliver of high-quality software that connects Financial Markets across the globe in a real-time, high frequency and low-latency data management chain. The projects are technically challenging in an environment that is very engaging.
  
  We are looking for the regular Python/Robot QA automation to join customer team that works within Scrum/Agile.
  Proactive and responsible colleague who can reinforce our QA team in automation of Enterprise API testing.

   

• Responsibilities:

  • Review requirements, specifications and technical design documents to provide timely and meaningful feedback
  • Create detailed, comprehensive and well-structured test plans and test cases
  • Estimate, prioritize, plan and coordinate testing activities
  • Design, develop and execute automation scripts using open source tools
  • Identify, record, document thoroughly and track bugs
  • Perform thorough regression testing when bugs are resolved
  • Develop and apply testing processes for new and existing products to meet customer needs
  • Liaise with internal teams (e.g. developers and product managers) to identify system requirements
  • Monitor debugging process results
  • Investigate the causes of non-conforming software and train users to implement solutions
  • Track quality assurance metrics, like defect densities and open defect counts
  • Stay up-to-date with new testing tools and test strategies
  • Use AI to genenerate test plans and test scripts

   

• Mandatory Skills Description:

  • Ability to build/run C/C++/Java/C# applications (at least one of the languages) is a must
  • Experience and strong knowledge of Python/Robot automation is a must
  • A good Unix and Windows background
  • Experience in client server application automation testing
  • Git: Strong knowledge
  • Scripting languages: Bash

   

• Nice-to-Have Skills Description:

  • Experience with languages Java, C++, C# to alter code for testing
  • Knowledge in networking principles, TCP/IP, UDP
  • Familiarity with banking, financial concepts, financial data and market data
  • Knowledge of protocols and any experience with client/server implementations/API or testing message sequences over socket/websocket connections is a nice to have
  • Knowledge of tools such as git, Jira, TestRail, Confluence is a nice to have
  • Very good communication skills - both verbal and written 
  • Experience working in R&D / Agile environments and with distributed teams 
  • Upper intermediate and above English  
  • Ability and will to make decisions and prove and defend them 
  • Ability to document and communicate concepts at multiple levels 
  • Good analytical skills and readiness to perform alternatives analysis and to find the best possible option 
  • Quick learner, willingness to learn new technologies and to do research on your own
  • Team player - ability to work in distributed teams, contribute to collaborative team success, treat team / product success as personal goal 
  • Result-oriented mindset 
  • Experience working in multicultural environment
  • Able to work independently with defined problems on a senior level in certain areas of technical or business expertise

   

• Languages:
  • English: C2 Proficient

Our client is a leading global Financial markets data provider who runs a number of change programs to deliver of high-quality software that connects Financial Markets across the globe in a real-time, high frequency and low-latency data management chain. The projects are technically challenging in an environment that is very engaging.

We are looking for the regular Python/Robot QA automation to join customer team that works within Scrum/Agile.
Proactive and responsible colleague who can reinforce our QA team in automation of Enterprise API testing.

• Responsibilities:

  • Review requirements, specifications and technical design documents to provide timely and meaningful feedback
  • Create detailed, comprehensive and well-structured test plans and test cases
  • Estimate, prioritize, plan and coordinate testing activities
  • Design, develop and execute automation scripts using open source tools
  • Identify, record, document thoroughly and track bugs
  • Perform thorough regression testing when bugs are resolved
  • Develop and apply testing processes for new and existing products to meet customer needs
  • Liaise with internal teams (e.g. developers and product managers) to identify system requirements
  • Monitor debugging process results
  • Investigate the causes of non-conforming software and train users to implement solutions
  • Track quality assurance metrics, like defect densities and open defect counts
  • Stay up-to-date with new testing tools and test strategies
  • Use AI to genenerate test plans and test scripts

• Mandatory Skills Description:

  • Ability to build/run C/C++/Java/C# applications (at least one of the languages) is a must
  • Experience and strong knowledge of Python/Robot automation is a must
  • A good Unix and Windows background
  • Experience in client server application automation testing
  • Git: Strong knowledge
  • Scripting languages: Bash

We are seeking an RPA Developer for our client to join a multidisciplinary team that includes frontend and backend developers, data engineers, data scientists, QA engineers, cloud engineers, and project managers. The ideal candidate is a strong problem solver who can work independently in a fast-paced, evolving environment. Experience with Power Automate Desktop and the broader Power Platform is highly desirable, along with familiarity with Blue Prism. A working knowledge of Python and SQL is required—while deep expertise is not necessary, these technologies should be well understood and not new to the candidate.

• Responsibilities:

  • Design, develop, and deploy RPA solutions using Power Automate and Blue Prism
  • Implement and configure RPA software robots to execute tasks and streamline processes
  • Collaborate with cross-functional teams to integrate RPA solutions with existing systems and applications.
  • Troubleshoot and resolve issues related to RPA processes and bots in a timely manner.
  • Conduct unit testing and validation of RPA solutions to ensure accuracy and reliability.
  • Stay updated on the latest RPA trends, tools, and best practices.

• Mandatory Skills Description:

  Core must-have for this position (tech stack):
  - Power Automate: Cloud flows and desktop flows. 2y+ experience with Power Automate Desktop. Ability to build complex workflow orchestration, integrate with APIs, databases, and enterprise systems, and handle long-running or stateful processes.
  - Microsoft Power Platform: End-to-end understanding of the broader ecosystem.
  - Blue Prism: Proven experience, particularly in the context of migration or transition initiatives.
  - Programming background: Optional, but beneficial; examples include C#, Python, or similar languages.
  
  Skills:
  - Overall experience in a related field of more than 7 years
  - Bachelor's degree in Computer Science or a related field.
  - Environment strategy: Familiarity with Dev, Test, and Prod environment practices.
  - Python programming skills
  - Proficient with SQL
  - Proficient with Python or C#
  - Excellent problem-solving and troubleshooting skills.
  - Effective communication and collaboration skills.
  - Proactive attitude and a willingness to learn and adapt in a fast-paced environment.

• Nice-to-Have Skills Description:

  • Experience with performance testing and profiling
  • Experience integrating with cloud infrastructure platforms, in particular Microsoft Azure
  • Understanding of Financial Mathematics

• Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices.
  Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project.
  Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

   

• Responsibilities:

  BI Reports Development
  • Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
  • Design & development of outstanding dashboards and performing UAT with a customer
  • Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
  • Release preparation and presenting results to end-users
  Project management
  • Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
  • Take part in collecting and merging requirements from different customer groups
  Development of data & analytics services
  • Drive companywide projects like data catalog, self-service BI, glossary etc.
  • Work on BI efficiency initiatives like access management and design excellence
  • BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

   

• Mandatory Skills Description:

  Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced
  2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc.
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking

   

• Nice-to-Have Skills Description:

  Practical experience with other BI tools such as Qlik, Power BI, etc.

   

• Languages:
  • English: B2 Upper Intermediate

• Project Description:

  You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
  This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
  The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

• Mandatory Skills Description:

  - 6+ years of commercial experience with Java
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

• Nice-to-Have Skills Description:

  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

• Languages:
  • English: C1 Advanced

• Project Description:

  A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients that is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). 
  The project tech stack: Apache Spark, Hive, Java, Scala, Spring, SQL, Kafka, Hadoop.
  We are looking for a strong Senior Java Developer with Big Data experience (Hadoop, Spark) capable of build the design and establish the framework in order to expose and distribute the Risk data to wide variety of consumers including Finance, Front office Risk Systems, Trading Systems, Back office and Account systems. This should cover low latency access and Streaming, Push / Pull mechanisms depending on the type of consumers.
  The role of the Senior Java Developer involves working with strong development teams (3 Senior Java Developers), the opportunity to work with big data improving knowledge in this domain utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems

• Mandatory Skills Description:

  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of the Java programming languages
  • Understanding Java dependency injection frameworks, preferably Spring
  • Strong SQL skills
  • 1+ year of Big data development with extensive hands-on experience with Spark programming
  • Strong knowledge of big data technologies like Hadoop (Hive) and Spark
  • Understanding Data governance
  • Should be familiar with algorithms and design patterns
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  • Familiarity with the Linux environment, including scripting skills

• Nice-to-Have Skills Description:

  • Databricks and cloud services, preferably aws/gcp
  • Experience with in-memory databases and caching
  • Data modeling: fact, dimension tables, SCD
  • Understanding of open table formats: iceberg, delta lake, hudi
  • Understanding of open file formats: parquet, orc
  • Job Orchestration tools like Autosys or Airflow
  • Financial background (where possible)

• Languages:
  • English: B2 Upper Intermediate

Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices.
Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project.
Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

• Responsibilities:

  BI Reports Development
  • Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
  • Design & development of outstanding dashboards and performing UAT with a customer
  • Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
  • Release preparation and presenting results to end-users
  Project management
  • Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
  • Take part in collecting and merging requirements from different customer groups
  Development of data & analytics services
  • Drive companywide projects like data catalog, self-service BI, glossary etc.
  • Work on BI efficiency initiatives like access management and design excellence
  • BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

• Mandatory Skills Description:

  Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced
  2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc.
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking