EPAM Systems

As a Data Delivery Manager you will leverage your data-driven mindset and your passion for people in a multi-faceted role. You will be bringing delivery expertise and theoretical knowledge from Data and Analytics domain, working alongside globally renowned, award-winning development and technology teams who are passionate about what they do, and how they do it. 
You will play a key role in building strong business / technology relationships, taking a hands-on approach to define and deliver a culture of continuous improvement.

WHAT YOU’LL DO
Own end-to-end solution delivery on the assigned account(s)
Assure governance of processes in delivery management and production as per selected delivery model
For the top management and client - act as a single point of responsibility over any delivery-related matters, including escalations, upsells, ramp-downs, etc
Take responsibility for resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
Accountable for the technical leadership regarding the delivery. Ensure a sound and future-proof architecture is planned and the implementation meets the technical quality standards
Coordinate between multiple disciplines and stakeholders
Establish and manage long-term partnerships with the client(s)
Address clients’ issues, identify and manage engagement risks
Coordinate the preparation of client proposals and statements of work
Ensure that projects are delivered in line with EPAM processes and methodologies;
Make sure that the client executes their responsibilities on the engagements
Build up delivery plan along with estimations on timeframes, quality and quantity of resources required to successfully deliver projects
Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
Support sales activities: participate in the bid process, and provide technical and management expertise to win bids
Ensure EPAM delivery standards while bringing to life the best products for our clients
Manage your team via KPIs around delivery, local Data Practice growth and technology proficiency

WHAT YOU HAVE
Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence, LLM.
Knowledge of corresponding technological solutions and industry best practices
Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
Familiar with multiple Data & Analytics technology stacks
Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modeling, etc.)
Experience with data visualization, aware of various tools and technologies
Understanding of data-related security challenges
Experience with one or more leading cloud providers (AWS/Azure/GCP); leading role in on-prem to cloud migration projects
Experience executing from ground-up solutions
A thorough understanding of how to plan, resource, and deliver large-scale technical projects
Knowledge of software development/Product lifecycle methodologies (Scrum, Kanban, etc.)
High degree of comfort to present both to large and small audiences
Ability to manage multiple tasks and projects in a fast-moving environment
Excellent interpersonal skills, and ability to work with diverse personality types
Excellent business communication skills
 

Requirements:

Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients

• Lead cross functional EPAM and/or EPAM’s client’s teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps
• Work with clients to deliver AI Products which provide value to end-users
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings
• Contribute to the growth of the Data Science talent pool at your location
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning
• Work closely with DevOps on infrastructure and release planning
  
  Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities
• Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)
• Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership. This role is well-regarded for leaders with a strong mathematics background and a desire to work hands-on with Machine Learning (ML) technologies
• Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position; Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ

Nice to have:
Domain Expertise (nice to have): deep expertise within one or more business domains (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)

• Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
• Participate in Data and Big Data initiatives on a company level
• Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
• Conduct solution architecture review/audit, calculate and present ROI
• Create and present solution architecture documents with deep technical details to customer and implementation teams
• Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
• Lead implementation of the solutions from establishing project requirements and goals to solution “go-live”
• Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
• Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
• Create and follow personal education plan in the technology stack and solution architecture
• Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations
  
  Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
• Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
• Experience with building traditional Cloud Data Warehouses, Data Lakes
• Knowledge of high load and IoT Data Platform architectures and infrastructures
• Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
• Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
• Able to deliver Data Analytics projects and architecture guidelines
• Strong in research, comparison, and selection of tools / technologies / approaches to be used
• Practical experience in performance tuning and optimization, bottleneck problem analysis
• Strong communication skills, experienced in team coordination skills and solution implementation supervision
• Good in Agile development methodology, Scrum in particular
• Solid skills in business analysis, network/stack architecture, troubleshooting, support
• Fluent English

Responsibilities:
Assure governance of processes in delivery management and production as per the selected delivery model

• Take responsibility for resources needed for delivery and ensure sound skills and seniority staffing according to the delivery roadmap
• Coordinate the preparation of customer proposals and statements of work
• Ensure that projects are delivered in line with EPAM processes and methodologies, with a focus on agile approaches
• Build up delivery plan along with estimations on timeframes, quality, and quantity of resources required to successfully deliver projects
• Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
• Measure and improve delivery productivity
• Support sales activities and participate in the bid process
• Help mentoring and coaching other delivery managers
• Actively contribute to EPAM-wide delivery management community
  
  Requirements:
• At least 5 years of experience in gathering and understanding customer business requirements to introduce Big Data technologies
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, and Business Intelligence. Familiar with relevant technological solutions, industry best practices
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
• Familiarity with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc.)
• Hands-on knowledge of some of the tools and techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc.)
• Good understanding of classical analytics methods including relevant theories
• Strong background experience with Programming Languages such as Python, Scala, or Java
• Experience with one or more leading cloud providers (AWS/Azure/GCP), and leading role in on-prem to cloud migration project(s)
• Strong SQL experience 
• Data Architecture understanding
• Strong Client Management skills
• Proficiency with Cloud Data
• Strong Experience in Software Delivery Cycle and familiarity with Agile methodologies
• Excellent communicational skills with C1 English level proficiency

Responsibilities:

• Design data analytics solutions by utilizing the big data technology stack
• Create and present solution architecture documents with deep technical details
• Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions
• Conduct solution architecture review/audit, calculate and present ROI
• Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
• Participate in the full cycle of pre-sale activities: direct communications with customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to the customer and participate in technical meetings with customer representatives
• Create and follow personal education plan in the technology stack and solution architecture
• Maintain a strong understanding of industry trends and best practices
• Get involved in engaging new clients to further drive EPAM business in the big data space.

Requirements:

• Should have minimum experience of 7+ years
• Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python
• Experience delivering data analytics projects and architecture guidelines
• Experience in big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud) and other cloud
• Production project experience in at least one of the big data technologies
• Batch processing: Hadoop and MapReduce/Spark/Hive
• NoSQL databases: Cassandra/HBase/Accumulo/Kudu
• Knowledge of Agile development methodology, Scrum in particular
• Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments
• Experience working within a consulting business and pre-sales experience would be highly attractive
• Upper-Intermediate level of English, both spoken and written (B2+)

RESPONSIBILITIES  

• Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients  
• Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps  
• Work with clients to deliver AI Products which provide value to end-users  
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings  
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning  
• Work closely with DevOps practice on infrastructure and release planning 
  
  
  QUALIFICATIONS  
• Consulting:  Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities   
• Data Science:  3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)   
• Engineering:  Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership.   
• Leadership:  Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus  
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ  
  
  NICE TO HAVE  
• One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)  
  
  TECHNOLOGIES  
• Python, Databricks, Azure ML, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (Pl SQL, HQL, Mongo), Google (Vertex AI) or similar  

RESPONSIBILITIES  

• Ведення presale та консалтингової діяльності для клієнтів компанії щодо можливих технічних рішень
• Розробка проєктних рішеннь та їхня валідація з клієнтами (технічне рішення, строки виконання, склад команди розробки тощо)
• Планування та управління discovery фазою проєкту, проведення kick-off сесій, технічне консультування при перенесенні проєкта у стадію розробки
• Співпраця на рівні глобальної Дата практики EPAM з архітекторами рішень, технічними лідерами при розробці архітектури проєкту, що відповідає стратегічним потребам бізнесу

QUALIFICATIONS  

• 3+ років досвіду у ролі Архітектора Дата рішень
• 2+ роки досвіду ведення presale діяльності з клієнтами
• Практичний досвід роботи з AWS або Azure або GCP
• Знання BI, ETL, Cloud Data platforms, legacy Data platforms (Oracle, MS SQL, DB2)
• Досвід участі у проєктах по розробці end-to-end рішень у якості Tехнічного консультанта або Архітектора чи Менеджера проєктів
• Здатність керувати очікуваннями клієнтів та презентувати рішення стейкхолдерам

Responsibilities:

• Own end-to-end solution delivery on the assigned account(s)
• Assure governance of processes in delivery management and production as per selected delivery model
• For the top management and client - act as a single point of responsibility over any delivery-related matters, including escalations, upsells, ramp-downs, etc
• Coordinate between multiple disciplines and stakeholders
• Take responsibility for resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
• Accountable for the technical leadership regarding the delivery. Ensure a sound and future-proof architecture is planned and the implementation meets the technical quality standards
• Establish and manage long-term partnerships with the client(s)
• Address clients’ issues, identify and manage engagement risks
• Coordinate the preparation of client proposals and statements of work
• Ensure that projects are delivered in line with EPAM processes and methodologies
• Make sure that the client executes their responsibilities on the engagements
• Build up delivery plan along with estimations on timeframes, quality and quantity of resources required to successfully deliver projects
• Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
• Support sales activities: participate in the bid process, and provide technical and management expertise to win bids
• Manage your team via KPIs around delivery, local Data Practice growth and technology proficiency
• Ensure EPAM delivery standards while bringing to life the best products for our clients

Requirements:

• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence, LLM
• Knowledge of corresponding technological solutions and industry best practices
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
• Familiarity with multiple Data & Analytics technology stacks
• Awareness of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modeling, etc.)
• Understanding of data-related security challenges
• Experience with data visualization, aware of various tools and technologies
• Experience with one or more leading cloud providers (AWS/Azure/GCP); leading role in on-prem to cloud migration projects
• Experience executing from ground-up solutions
• Deep understanding of how to plan, resource, and deliver large-scale technical projects
• Knowledge of software development/Product lifecycle methodologies (Scrum, Kanban, etc.)
• Ability to manage multiple tasks and projects in a fast-moving environment
• High degree of comfort to present both to large and small audiences
• Excellent interpersonal skills, and ability to work with diverse personality types
• Excellent business communication skills

EPAM is inviting Data Delivery manager to join our Team! 

WHAT YOU’LL DO
 

Own end-to-end solution delivery on the assigned account(s)

Assure governance of processes in delivery management and production as per selected delivery model
For the top management and client - act as a single point of responsibility over any delivery related matters, including escalations, upsells, ramp-downs, etc
Take responsibility over resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
Accountable for the technical leadership regarding the delivery. Ensuring a sound and future-proof architecture is planned and the implementation meets the technical quality standards
Coordinate between multiple disciplines, stakeholders
Establish and manage long-term partnerships with the client(s)
Address client(s) issues and identify and manage engagement risks
Coordinate the preparation of customer proposals and statements of work
Ensure that projects are delivered in line with EPAM processes and methodologies; Well versed in different delivery models, with focus on agile approaches
Make sure that the customer executes their responsibilities on the engagements
Build up delivery plan along with estimations on timeframes, quality and quantity of resources required to successfully deliver projects
Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
Measure and improve delivery productivity
Support sales activities; participate in bid process, provide technical and management expertise to win bids
Help mentoring and coaching other delivery managers
Actively contribute in EPAM-wide delivery management community
REQUIREMENTS
Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions, industry best practices
Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
At least 5 years of experience in gathering and understanding customer business requirements to introduce Big Data technologies
Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc)
Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc)
Experience with data visualization, aware of various tools, technologies
Good understanding of classical analytics methods; including relevant theories
Good understanding of various delivery approaches, well versed in agile
Understanding data related security challenges
Experience with one or more leading cloud providers (AWS/Azure/GCP), leading role in on-prem to cloud migration project(s)
High degree of comfort to present both to large or small audiences
Ability to manage multiple tasks and projects in a fast-moving environment

We are looking for a Data Solution Architect to make our team even stronger.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

Responsibilities

• Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
• Participate in Data and Big Data initiatives on a company level
• Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
• Conduct solution architecture review/audit, calculate and present ROI
• Create and present solution architecture documents with deep technical details to customer and implementation teams
• Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
• Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
• Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
• Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
• Create and follow personal education plan in the technology stack and solution architecture
• Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

• Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
• Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
• Experience with building traditional Cloud Data Warehouses, Data Lakes
• Knowledge of high load and IoT Data Platform architectures and infrastructures
• Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
• Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
• Able to deliver Data Analytics projects and architecture guidelines
• Strong in research, comparison, and selection of tools / technologies / approaches to be used
• Practical experience in performance tuning and optimization, bottleneck problem analysis
• Strong communication skills, experienced in team coordination skills and solution implementation supervision
• Good in Agile development methodology, Scrum in particular
• Solid skills in business analysis, network/stack architecture, troubleshooting, support
• Fluent English

We are seeking a talented Data Solution Architect to join our team in the automotive sector.

This role involves working with innovative recon software that simplifies documentation, optimizes processes, and delivers instant insights into business operations. Our goal is to provide the most dynamic and user-friendly technology solutions for automotive reconditioning businesses.

In this dual role, you will take on the responsibilities of both an architect and an engineer. As an Architect, you will play a crucial role in designing schemas and pipelines, defining transformations, and orchestrating efficient data insertion into an analytics-focused relational structure. As an Engineer, you will execute these designs, crafting a robust and efficient system, and utilizing your development expertise to enhance data processing capabilities.

Our current data originates from a MongoDB dump stored in Snowflake, and familiarity with these technologies will be advantageous.

This role presents a fantastic opportunity for individuals who excel in both engineering and architectural disciplines and are eager to make a significant impact on our client's business operations.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

Our customer is a leader in global prestige retail, teaching and inspiring clients to play in a world of beauty. The company has earned its reputation all over the world as a beauty trailblazer with its expertise, innovation, and entrepreneurial spirit. Our project is about developing a full-stack e-Commerce application for the world's biggest cosmetics retailer chain of stores.

PROJECT TECHNOLOGIES AND TOOLS

SQL, HIVE

Hadoop

Kafka

Spark

Spark Streaming

Cloud (Azure)

Scala or Python

RESPONSIBILITIES

Investigation and requirements clarification

Solution architecture design from scratch

PoC development

Full project delivery

Interactions with the customer development team and 3-rd party vendor

REQUIREMENTS

5+ years of experience in Java/Scala or Python

Experience with HIVE

Strong communication skills

Intermediate or higher English level, both spoken and written (B1+)

NICE TO HAVE

Databricks

Avro

Spark

Apache Hadoop

WE OFFER

Competitive compensation depending on experience and skills

Individual career path in engineering

Social package - medical insurance, sports

Compensation for sick lists and regular vacations

English classes with certified English teachers

Flexible work hours

As a Generative AI Data Scientist, you will play a critical role in use case evaluation, architecture, and development planning, developing and implementing state-of-the-art generative models to solve complex business problems. This is an exciting opportunity to apply cutting-edge techniques and push the boundaries of AI technology.

Qualifications:

-Proven experience in developing and implementing generative models, such as GANs, VAEs, or deep generative models.

- Strong proficiency in programming languages such as Python, with experience using deep learning frameworks such as TensorFlow or PyTorch.

- Solid understanding of machine learning, deep learning, and statistical modeling concepts.

- Experience working with large-scale datasets and preprocessing techniques.

- Proficiency in data visualization and exploratory analysis tools.

- Strong problem-solving skills and ability to think creatively to design innovative solutions.

- Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

- Proven ability to work collaboratively in a team environment and contribute to cross-functional projects.

- Strong research and self-learning abilities, with a passion for staying up-to-date with the latest advancements in generative AI and related fields.

Preferred Skills:

- Experience with natural language processing (NLP) and text generation models.

- Familiarity with cloud-based machine learning platforms and Generative AI services, such as Azure (Open AI, ChatGPT), Google Cloud or AWS.

- Knowledge of parallel computing and distributed training frameworks.

- Publications or contributions to the research community in the field of generative AI or related disciplines.

Responsibilities:

- Research and Development: Conduct research and stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Explore and experiment with different generative models, architectures, and algorithms to enhance our capabilities.

- Model Development: Design, develop, and implement novel generative models tailored to specific use cases. Create and optimize deep neural networks, variational autoencoders (VAEs), generative adversarial networks (GANs), or other generative architectures to generate realistic and diverse synthetic data.

- Data Preprocessing: Work closely with data engineers and domain experts to preprocess and clean large-scale datasets. Apply statistical techniques and data augmentation methods to ensure high-quality input data for training generative models.

- Model Training and Evaluation: Train and fine-tune generative models using large-scale datasets, leveraging techniques such as transfer learning and unsupervised learning. Develop evaluation metrics and benchmarks to assess model performance and generate insights to guide model improvements.

- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, insurance experts, and experience designers, to integrate generative models into real-world applications. Provide technical guidance and support to ensure successful implementation and deployment of generative AI solutions.

- Innovation and Optimization: Continuously explore new techniques, frameworks, and tools to optimize and enhance the performance of generative models. Stay informed about emerging trends and best practices in the field and contribute to the advancement of the organization's data science capabilities.

- Documentation and Reporting: Prepare clear and concise technical documentation, including model architectures, methodologies, and experiment results. Present findings and insights to both technical and non-technical stakeholders, contributing to knowledge-sharing and decision-making processes.

We are looking for a Senior/Lead Big Data Engineer who can help us to create the data pipelines for the data platform we are designing now.

-3+ years of hands-on experience in the big-data field: Hadoop, Spark, Spark Streaming, MR.

-3+ years of experience with relevant cloud data services (AWS, Azure, GCP) like EMR, Glue, S3, Lambda, Fargate, DynamoDB, ADF, Azure functions, Azure Blob Storage, DataProc & DataFlow, BigQuery.

-Knowledge of DataBricks will be significant benefit for the candidate.

-Excellent knowledge and hands-on experience of SQL in context of Big Data: Spark SQL, Hive QL

- Ability to understand and optimize Spark execution plans via Spark UI

- Excellent knowledge of Python or Scala

- Batch processing and ETL principles in Data Warehouses.

- Data completeness signals and orchestration

- Approaches for historical reprocessing and data correction

- Handling bad data and late data in inputs and outputs

- Schema migrations and datasets evolution

- B2 Strong speaking English.

- Ability to learn fast new set of tools and technology used internally: Radar, platform services, telemetry providers, Spark-as-a-Service, build system and much more.

Will be a plus

- Understanding of functional programming ideas and principles.

- Experience in building and using web services.

- Experience with any of Teradata, Vertica, Oracle, Tableau.

- Spark Streaming and Kafka.

- Experience or knowledge of: Apache Iceberg, Trino (Presto), Druid, Cassandra, Blob storage like AWS.

- Understanding or experience with Azkaban or Airflow.

We are looking for a highly proficient data engineer with extensive knowledge in data warehousing design and data processing, analytical tools, actuarial data processing and problem-solving abilities.

Responsibilities

• Use analytics toots
• Provide data processing
   

Requirements

• Data Warehousing: Expertise in designing, implementing, and maintaining insurance-specific data warehouses
• Programming Languages: Proficient in SQL, C#, Python, and other relevant languages for data analysis
• Analytics Tools: Advanced skills in Python, SQL, Microstrategy Tableau, Power BI, Excel, and other data visualization and analysis tools
• Insurance Domain Knowledge: Solid understanding of insurance processes, including underwriting, policy administration, claims processing, and risk management
• Analytical and Problem Solving: Strong analytical thinking, critical thinking, and problem-solving abilities
• Actuarial Data Processing: Strong knowledge of actuarial data requirements and processing techniques, supporting actuarial teams with accurate and timely data
• Communication and Collaboration: Ability to work effectively in team environments and communicate technical concepts to non-technical stakeholders
• Upper-Intermediate level of English, both spoken and written (B2+)