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Lead Data Integration Engineer

EPAM Systems

Role overview

Qualifications

  • 5+ years of proven experience in data integration and data warehousing
  • Proficiency in DBT, Airflow, and SQL for data transformation, orchestration, and querying
  • Skills in Python for API development and automation
  • Expertise in Iceberg for data asset management and transition

Responsibilities

  • Collaborate with business analysts to understand and implement data requirements
  • Design and develop efficient data pipelines using AWS technologies
  • Ensure reliability, performance, and scalability of data pipelines
  • Troubleshoot and resolve data integration issues promptly

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Senior (5-10 years)
  • Data Platform Engineer
  • English

Hard skills

Other skills

  • Problem Solving
  • Analytical Thinking
  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.
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Job description

We are seeking a Lead Data Integration Engineer to build and optimize data pipelines within the AWS ecosystem, enabling seamless integration and robust data reporting for critical decision-making processes. Responsibilities Collaborate with business analysts to understand and implement data requirements Design and develop efficient data pipelines using AWS technologies Ensure reliability, performance, and scalability of data pipelines Troubleshoot and resolve data integration issues promptly Implement data mappings, aggregations, and quality checks based on business analyst input Maintain clear and comprehensive documentation of integration processes Support data asset transition processes using Iceberg Facilitate data querying and manipulation with SQL Leverage tools like DBT and Airflow for pipeline orchestration and data modeling Align data integration processes with compliance standards and best practices Requirements 5+ years of proven experience in data integration and data warehousing Proficiency in DBT, Airflow, and SQL for data transformation, orchestration, and querying Skills in Python for API development and automation Expertise in Iceberg for data asset management and transition Knowledge of Snowflake and Power BI for data warehousing and visualization Demonstrated ability in data modeling and database performance tuning Familiarity with implementing data quality checks and aggregation processes Strong problem-solving, analytical, and communication skills Effective use of data integration tools in cloud-based environments (AWS)

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