Luxoft

• Project Description:

  Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM-powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

   

• Responsibilities:

  • Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
  • Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector + keyword/BM25 + metadata)
  • Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
  • Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.
  • Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
  • Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons across LLM providers/models as required
  • Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

   

• Mandatory Skills Description:

  8+ years of hands-on experience in Data Science and 5+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.
  Strong programming skills in languages such as Python and familiarity building ETL pipelines.
  Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases (Open Search or Elastic Search)
  Familiarity with cloud platforms (e.g., AWS) and their services.
  Experience with version control systems (e.g., Git) and CI/CD pipelines.
  Ability to build scalable infrastructure to embed and search very large number of documents.
  Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
  Expertise in ML inference optimizations
  Solid experience with Hybrid RAG, chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching, etc.
  Knowledge of network optimization for distributed ML training and inference.
  Understanding of distributed training patterns and checkpointing strategies.
  Strong English skills (B2 and higher)
  Strong verbal and written communication skills.
  Ability to work independently and collaborate in a group.

Project Description:

Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM-powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

Responsibilities:

• Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
• Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector + keyword/BM25 + metadata)
• Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
• Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.
• Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
• Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons across LLM providers/models as required
• Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

Mandatory Skills Description:

8+ years of hands-on experience in Data Science and 5+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.
Strong programming skills in languages such as Python and familiarity building ETL pipelines.
Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases (Open Search or Elastic Search)
Familiarity with cloud platforms (e.g., AWS) and their services.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Ability to build scalable infrastructure to embed and search very large number of documents.
Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
Expertise in ML inference optimizations
Solid experience with Hybrid RAG, chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching, etc.
Knowledge of network optimization for distributed ML training and inference.
Understanding of distributed training patterns and checkpointing strategies.
Strong English skills (B2 and higher)
Strong verbal and written communication skills.
Ability to work independently and collaborate in a group.

Nice-to-Have Skills Description:

Agile certification
AWS/Oracle/Microsoft attestations and certifications
Domain knowledge - Trading and Capital Markets

• Project Description:

  We are looking for a Senior Platform / SRE Engineer who brings strong real‑world engineering experience, understands how to operate high‑availability (4‑nines) business‑critical systems, and can drive best‑practice engineering across the team.
  You will design, build, optimise, and support reliable, scalable platform components, working closely with engineering teams to ensure smooth delivery, observability, and robust production readiness.
  You provide pragmatic technical leadership, suggest improvements based on experience, and always prioritise quality, maintainability, and automation — aligned with enterprise‑grade standards used company-wide.

• Responsibilities:

  - Design and implement scalable, reliable platform and infrastructure solutions (cloud‑native, microservices‑based).
  - Build reusable, high‑quality engineering components and automation (CI/CD, IaC, deployment tooling).
  - Own production readiness: monitoring, logging, performance, SLO/SLA thinking, resilience engineering. [tesco-careers.com]
  - Support production systems, troubleshoot incidents, perform root‑cause analysis, and improve reliability.
  - Evaluate risk vs. benefit in tactical vs. long‑term solutions; always recommend best‑practice approaches.
  - Lead and contribute to system design discussions; guide teams on architecture choices.
  - Ensure releases meet standards for a 99.99% availability environment.
  - Mentor engineers and raise engineering standards across the team.

• Mandatory Skills Description:

  - Strong experience with Kubernetes (operations, scaling, networking).
  - Couchbase or NoSQL distributed databases (replication, high availability).
  - NGINX (reverse proxying, load balancing).
  - Azure Cloud (networking, compute, security, managed services).
  - ArgoCD / GitOps.
  - Terraform / IaC
  - CI/CD pipeline engineering (GitHub Actions / GitLab / Azure DevOps / Jenkins).
  - Strong understanding of production reliability, incident management, monitoring & instrumentation.
  - High‑quality engineering: clean code, reusable components, automation‑first mindset.
  - Ability to suggest improvements based on prior real‑world experience.

• Nice-to-Have Skills Description:

  - Go / Python scripting
  - Service mesh (Istio/Linkerd)
  - Kafka (streaming pipelines, reliability patterns)
  - Observability stack: Prometheus, Grafana, Loki, ELK
  - Security best practices (secret management, IAM, zero trust)

• Languages:
  • English: C1 Advanced

We are looking for a Senior Platform / SRE Engineer who brings strong real‑world engineering experience, understands how to operate high‑availability (4‑nines) business‑critical systems, and can drive best‑practice engineering across the team.
You will design, build, optimise, and support reliable, scalable platform components, working closely with engineering teams to ensure smooth delivery, observability, and robust production readiness.
You provide pragmatic technical leadership, suggest improvements based on experience, and always prioritise quality, maintainability, and automation — aligned with enterprise‑grade standards used company-wide.

• Responsibilities:

  - Design and implement scalable, reliable platform and infrastructure solutions (cloud‑native, microservices‑based).
  - Build reusable, high‑quality engineering components and automation (CI/CD, IaC, deployment tooling).
  - Own production readiness: monitoring, logging, performance, SLO/SLA thinking, resilience engineering. [tesco-careers.com]
  - Support production systems, troubleshoot incidents, perform root‑cause analysis, and improve reliability.
  - Evaluate risk vs. benefit in tactical vs. long‑term solutions; always recommend best‑practice approaches.
  - Lead and contribute to system design discussions; guide teams on architecture choices.
  - Ensure releases meet standards for a 99.99% availability environment.
  - Mentor engineers and raise engineering standards across the team.

• Mandatory Skills Description:

  - Strong experience with Kubernetes (operations, scaling, networking).
  - Couchbase or NoSQL distributed databases (replication, high availability).
  - NGINX (reverse proxying, load balancing).
  - Azure Cloud (networking, compute, security, managed services).
  - ArgoCD / GitOps.
  - Terraform / IaC
  - CI/CD pipeline engineering (GitHub Actions / GitLab / Azure DevOps / Jenkins).
  - Strong understanding of production reliability, incident management, monitoring & instrumentation.
  - High‑quality engineering: clean code, reusable components, automation‑first mindset.
  - Ability to suggest improvements based on prior real‑world experience.

• Nice-to-Have Skills Description:

  - Go / Python scripting
  - Service mesh (Istio/Linkerd)
  - Kafka (streaming pipelines, reliability patterns)
  - Observability stack: Prometheus, Grafana, Loki, ELK

Project description

We are looking for a Senior Platform / SRE Engineer who brings strong real‑world engineering experience, understands how to operate high‑availability (4‑nines) business‑critical systems, and can drive best‑practice engineering across the team.
You will design, build, optimise, and support reliable, scalable platform components, working closely with engineering teams to ensure smooth delivery, observability, and robust production readiness.
You provide pragmatic technical leadership, suggest improvements based on experience, and always prioritise quality, maintainability, and automation — aligned with enterprise‑grade standards used company-wide.

Responsibilities

Design and implement scalable, reliable platform and infrastructure solutions (cloud‑native, microservices‑based).

Build reusable, high‑quality engineering components and automation (CI/CD, IaC, deployment tooling).

Own production readiness: monitoring, logging, performance, SLO/SLA thinking, resilience engineering. [tesco-careers.com]

Support production systems, troubleshoot incidents, perform root‑cause analysis, and improve reliability.

Evaluate risk vs. benefit in tactical vs. long‑term solutions; always recommend best‑practice approaches.

Lead and contribute to system design discussions; guide teams on architecture choices.

Ensure releases meet standards for a 99.99% availability environment.

Mentor engineers and raise engineering standards across the team.

Skills

Must have

Strong experience with Kubernetes (operations, scaling, networking).

Couchbase or NoSQL distributed databases (replication, high availability).

NGINX (reverse proxying, load balancing).

Azure Cloud (networking, compute, security, managed services).

ArgoCD / GitOps.

Terraform / IaC

CI/CD pipeline engineering (GitHub Actions / GitLab / Azure DevOps / Jenkins).

Strong understanding of production reliability, incident management, monitoring & instrumentation.

High‑quality engineering: clean code, reusable components, automation‑first mindset.

Ability to suggest improvements based on prior real‑world experience.

Nice to have

Go / Python scripting

Service mesh (Istio/Linkerd)

Kafka (streaming pipelines, reliability patterns)

Observability stack: Prometheus, Grafana, Loki, ELK

Security best practices (secret management, IAM, zero trust)

Languages

English: C1 Advanced

Building a trading platform for innovative international top-tier hedge fund from the ground up, comprising of front-office system for traders, pre-trade checks and analysis, intra-day positions management, order management and routing, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe).

Responsibilities

QA will work across multiple teams including developers, devOps, other QA.

Interaction with business stakeholders, end-users, developers, and other QA;

Manual API testing

Analyzing logs and test results

Work on backend automation

Creation test cases in TestRail

Be pro-active in terms of process building

Manual testing of desktop application (trading platform)

Skills

Must have

Technical Skills:

8+ years of testing Expertise:

Strong experience in manual and automation testing of both UI and backend (APIs, java microservices)

Proficiency in functional, regression, integration, and end-to-end (E2E) testing

UI Testing (Manual & Automation):

Hands-on experience with Selenium WebDriver, Playwright, or Cypress for UI test automation

Experience in testing UI built with React or similar

Backend & API Testing:

Experience testing RESTful APIs using Postman, RestAssured

Basic experience in database validation (SQL & NoSQL) for backend data consistency

Microservices & Messaging Systems:

Understanding of microservices architecture and service-to-service communication.

Experience with Kafka-based event-driven systems (testing producers/consumers, validating messages).

Automation & Programming:

Proficiency JavaScript for test automation.

Experience with Cucumber, or BDD frameworks.

Ability to build and maintain test automation frameworks for UI, API, and backend testing.

Unix/Linux & Scripting:

Strong experience working with Unix/Linux environments for log analysis, process monitoring, and debugging.

Ability to write shell scripts for automation tasks.

Soft Skills:

Strong analytical and problem-solving skills.

Ability to work in an Agile/Scrum environment.

Excellent communication skills to collaborate with developers, product managers, and DevOps teams.

Experience in writing detailed test cases, test plans, and defect reports.

Nice to have

business domain experience (Trading, FIX protocol)

Experience integrating automated tests into Jenkins/Azure CI/CD

Knowledge of Docker and Kubernetes is a plus.

Experience with JMeter, Gatling for performance testing.

Project Description:

We are looking for a Senior Platform / SRE Engineer who brings strong real‑world engineering experience, understands how to operate high‑availability (4‑nines) business‑critical systems, and can drive best‑practice engineering across the team.
You will design, build, optimise, and support reliable, scalable platform components, working closely with engineering teams to ensure smooth delivery, observability, and robust production readiness.
You provide pragmatic technical leadership, suggest improvements based on experience, and always prioritise quality, maintainability, and automation — aligned with enterprise‑grade standards used company-wide.

Responsibilities:

- Design and implement scalable, reliable platform and infrastructure solutions (cloud‑native, microservices‑based).
- Build reusable, high‑quality engineering components and automation (CI/CD, IaC, deployment tooling).
- Own production readiness: monitoring, logging, performance, SLO/SLA thinking, resilience engineering. [tesco-careers.com]
- Support production systems, troubleshoot incidents, perform root‑cause analysis, and improve reliability.
- Evaluate risk vs. benefit in tactical vs. long‑term solutions; always recommend best‑practice approaches.
- Lead and contribute to system design discussions; guide teams on architecture choices.
- Ensure releases meet standards for a 99.99% availability environment.
- Mentor engineers and raise engineering standards across the team.

Mandatory Skills Description:

- Strong experience with Kubernetes (operations, scaling, networking).
- Couchbase or NoSQL distributed databases (replication, high availability).
- NGINX (reverse proxying, load balancing).
- Azure Cloud (networking, compute, security, managed services).
- ArgoCD / GitOps.
- Terraform / IaC
- CI/CD pipeline engineering (GitHub Actions / GitLab / Azure DevOps / Jenkins).
- Strong understanding of production reliability, incident management, monitoring & instrumentation.
- High‑quality engineering: clean code, reusable components, automation‑first mindset.
- Ability to suggest improvements based on prior real‑world experience.

Nice-to-Have Skills Description:

- Go / Python scripting
- Service mesh (Istio/Linkerd)
- Kafka (streaming pipelines, reliability patterns)
- Observability stack: Prometheus, Grafana, Loki, ELK
- Security best practices (secret management, IAM, zero trust)

• We are looking for a Senior Platform / SRE Engineer who brings strong real‑world engineering experience, understands how to operate high‑availability (4‑nines) business‑critical systems, and can drive best‑practice engineering across the team.
  You will design, build, optimise, and support reliable, scalable platform components, working closely with engineering teams to ensure smooth delivery, observability, and robust production readiness.
  You provide pragmatic technical leadership, suggest improvements based on experience, and always prioritise quality, maintainability, and automation — aligned with enterprise‑grade standards used company-wide.

   

• Responsibilities:

  - Design and implement scalable, reliable platform and infrastructure solutions (cloud‑native, microservices‑based).
  - Build reusable, high‑quality engineering components and automation (CI/CD, IaC, deployment tooling).
  - Own production readiness: monitoring, logging, performance, SLO/SLA thinking, resilience engineering. [tesco-careers.com]
  - Support production systems, troubleshoot incidents, perform root‑cause analysis, and improve reliability.
  - Evaluate risk vs. benefit in tactical vs. long‑term solutions; always recommend best‑practice approaches.
  - Lead and contribute to system design discussions; guide teams on architecture choices.
  - Ensure releases meet standards for a 99.99% availability environment.
  - Mentor engineers and raise engineering standards across the team.

   

• Mandatory Skills Description:

  - Strong experience with Kubernetes (operations, scaling, networking).
  - Couchbase or NoSQL distributed databases (replication, high availability).
  - NGINX (reverse proxying, load balancing).
  - Azure Cloud (networking, compute, security, managed services).
  - ArgoCD / GitOps.
  - Terraform / IaC
  - CI/CD pipeline engineering (GitHub Actions / GitLab / Azure DevOps / Jenkins).
  - Strong understanding of production reliability, incident management, monitoring & instrumentation.
  - High‑quality engineering: clean code, reusable components, automation‑first mindset.
  - Ability to suggest improvements based on prior real‑world experience.

   

• Nice-to-Have Skills Description:

  - Go / Python scripting
  - Service mesh (Istio/Linkerd)
  - Kafka (streaming pipelines, reliability patterns)
  - Observability stack: Prometheus, Grafana, Loki, ELK
  - Security best practices (secret management, IAM, zero trust)

   

• Languages:
  • English: C1 Advanced

• Project Description:

  Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver 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. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.
  
  We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

• Responsibilities:

  • Develop high-quality software, design, and functional documentation
  • Provide estimates for specific software feature implementation
  • Identify, prioritize, and execute tasks in the software development life cycle
  • Build unit tests for your code
  • Automate tasks through appropriate tools and scripting
  • Perform validation and verification testing
  • Collaborate with internal teams and vendors to fix and improve products
  • Ensure software is up-to-date with the latest technologies and standards

• Mandatory Skills Description:

  • 3+ years of full life-cycle software development experience
  • 3+ years of object-oriented development, in particular, C++
  • Experience developing under Linux
  • Ability to collaborate in a team-focused environment
  • Excellent analytical skills and a real passion for solving problems
  • English at the level of Upper-Intermediate (spoken)
  • Experience with Docker, AWS

• Nice-to-Have Skills Description:

  • Ability to suggest/research new technologies and quickly adapt to change
  • Experience working with Market Data and Trading

• Languages:
  • English: B2 Upper Intermediate

• Project Description:

  We are seeking a Bid Manager (Project Manager/Deal Coordinator) to join the GrowthX Bid Management Team. This role supports the bid process, new business generation activities, and the preparation of documentation for formal tenders. The Bid Manager will handle client requests such as RFIs and RFPs, and develop content for client presentations. Strong multitasking skills and proactivity are essential.
  
  Each team member is expected to lead one or more internal areas or initiatives that contribute to the evolution of business processes and enhance overall effectiveness. The Bid Manager is responsible for managing the entire bid cycle, driving efficiency, accelerating time to quote, and improving the overall customer experience.

   

• Responsibilities:

  Managing multiple, parallel bids to meet sales bid deadlines
  Studying and analyzing bid documents to understand the needs of the client
  Making the proposal structure and bid approach fit the customer bid requirements
  Managing bid pricing and commercial strategy within agreed bid frameworks and approval frameworks
  Managing and reviewing bid inputs (internal and third-party) to ensure high-quality output, e.g. SOW and pricing
  Producing and managing preliminary and final quotes, commercial project contracts, and any document related to the bid
  Documenting/ archiving bid information in dedicated databases and data sharing sites, ensuring that all critical information is
  current and complete
  Coordinating joint efforts of the bid team, distributing the tasks
  Preparing case studies and other reference materials
  Collating materials provided by various departments

   

• Mandatory Skills Description:

  A team player with a strong personal integrity
  Motivated, flexible, organized and process-oriented
  Able to track and manage multiple discussion threads and bids, ensuring continuity and follow-up
  Analytical, project coordination and business analysis skills
  Project management experience
  Perfect English (C1)
  Distinct ability to work independently, though being flexible to work under supervision/ in teams
  Advanced knowledge of Microsoft Office (PowerPoint, Word, Excel)
  Understanding of SDLC

• Project Description:

  Global Employment Screening (GES) - is a set of checks and verifications aimed to support fraud prevention, ensure reliability of candidates and applicants to be employed at DXC Luxoft, and comply with policies set by the company. Employment screening must be performed in accordance with all applicable local laws and regulations.

  
  DXC Luxoft can either conduct the vetting themselves or by engaging a vetting agency. Independent of any delegation of vetting execution, DXC Luxoft remains fully accountable for the external staff, retention of vetting evidence and the result of the vetting checks.

  
  The basic principle for external staff vetting is based on the agreement between Client and DXC Luxoft. Luxoft GES Team shall conduct vetting process in accordance with Client's requirements and applicable local law.

   

• Responsibilities:

  1. Contacts the candidates via email to obtain required documents.
  2. Schedules and coordinates pre-employment screening process, including
  - Personal data verification of new joiners and relocated staff in agreed timelines and in line with applicable policies.
  - Quality assurance and data review of information obtained.
  - Ordering of specific checks through authorized vetting vendors.
  - Monitoring and managing of pending cases to ensure progression to completion.
  - Communication with candidates to keep them updated on the case progress.
  3. Communicates daily with respective teams/departments regarding pending results, alerts, additional requirements, and delays.
  4. Works with vendor(s), including:
  - Expense approval.
  - Regular monitoring that all verifications sent out are followed up on in a timely manner.
  - Invoices processing.
  - Final vetting reports review and validation.
  5. Cooperates with clients (vetting findings escalation and approval process, participation in client's audits).
  6. Maintains/updates GES results in internal systems and documents storage.

   

• Mandatory Skills Description:

  Technical skills/Professional knowledge:
  • language: English: B2 Upper Intermediate;
  • solid knowledge of MS Office (Word, Excel, Outlook);
  • min. 1 year of experience in administrative work.
  Soft skills:
  • excellent communication skills;
  • excellent organizational and time management skills;
  • strong analytical skills and ability to solve problems quickly and effectively;
  • ability to act independently and to take decisions;
  • attention to details, accuracy.

• Project Description:

  Learning Management and Development enables each member of the company to access various training services, such as trainer-led courses, upskilling programs for Direct and Line Managers, webinars, foreign language lessons, training paths & sets, internship programs, self-learning libraries, external providers (conferences and certifications), and other training services.
   

• Responsibilities:

  • Organization/help any events concerned with training in location;
  • Ability for accurate work in internal management systems and tools;
  • Training modules preparations (infrastructure, materials, invitations, certificates, problem solving etc.);
  • Introduction trainings (consulting, organization, closing in the system).
  • Process the Training plan (assure the accuracy of the forecast);
  • Cooperation with internal and external training providers;
   

• Mandatory Skills Description:

  Higher education;
  • Good communication skills;
  • Experience with databases;
  • Advanced PC user (MS Office, Outlook, Internet Explorer);
  • Great sense of responsibility with ability to work under pressure independently as well as in teams;
  • Strong attention to details and organization;
  • Self-starter and proactive approach to resolving

• Project Description:

  Developed product is the leading software system in Energy domain covering all aspects of Oil&Gas production from geological exploration to optimization of ongoing production. Our technology solution helps geologists and geophysicists to research, visualize and interpret large volumes of geological data.

• Responsibilities:

  Intern's tasks at the beginning.
  For the future:
  - Clarification and analysis of customer requirements
  - Providing consultations to the development team on Oil&Gas domain
  - Continuous and acceptance testing of the developed software

• Mandatory Skills Description:

  - Educational background in geosciences (geology or geophysics)
  - Upper-Intermediate English

• Nice-to-Have Skills Description:

  Oil&Gas domain work experience is a plus
  Understanding SDLC, testing concept, and quality assurance best practices

• Languages:
  • English: B2 Upper Intermediate

Developed product is the leading software system in Energy domain covering all aspects of Oil&Gas production from geological exploration to optimization of ongoing production. Our technology solution helps geologists and geophysicists to research, visualize and interpret large volumes of geological data.

Responsibilities:

Intern's tasks at the beginning.

For the future:

- Clarification and analysis of customer requirements

- Providing consultations to the development team on Oil&Gas domain

- Continuous and acceptance testing of the developed software

Mandatory Skills:

- Educational background in geosciences (geology or geophysics)

- Upper-Intermediate English

Nice-to-Have Skills:

Oil&Gas domain work experience is a plus

Understanding SDLC, testing concept, and quality assurance best practices

We are seeking a highly skilled Snowflake Data Engineer with 7 years of IT experience to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities

Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.

Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.

Automate DBT jobs to streamline transformations and ensure reliable data workflows.

Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.

Document data models, processes, and workflows clearly for future reference and knowledge sharing.

Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.

Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.

Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.

Leverage SQL expertise for complex queries, transformations, and performance optimization.

Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.

Develop Python scripts for ETL/ELT processes, automation, and data quality checks.

Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.

Manage RBAC and enforce data governance policies to ensure compliance and secure data access.

Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

Skills

Must have

Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).

Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.

CI/CD expertise using Azure DevOps (build, release, version control).

Experience automating DBT jobs for data transformations.

Experience building Streamlit applications with Snowflake integration.

Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

Nice to have

Cloud certifications is a plus