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Senior Data Software Engineer

Role overview

Qualifications

  • A minimum of 3 years of relevant professional experience
  • Strong hands-on experience with PySpark and Spark SQL for building and processing large-scale data workflows
  • Experience building and managing Lakeflow pipelines and Jobs for data orchestration
  • Proficiency with Auto Loader and JDBC/CDC ingestion methods, working with sources such as DB2 and SQL Server

Responsibilities

  • Design and build scalable data pipelines that support reliable data movement across multiple systems
  • Develop and maintain data ingestion processes from a variety of source systems
  • Write clean, efficient, and well-tested code following strong software engineering practices
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

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 looking for a Senior Data Software Engineer to join our team. This role is ideal for someone who enjoys designing resilient data solutions that support critical business decision-making. You'll work closely with a team that values clean, well-tested code and strong engineering practices. If you're motivated by solving complex data challenges at scale, this position offers plenty of room to grow and make an impact Responsibilities Design and build scalable data pipelines that support reliable data movement across multiple systems Develop and maintain data ingestion processes from a variety of source systems Write clean, efficient, and well-tested code following strong software engineering practices Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions Monitor data pipeline performance and proactively address issues to maintain system reliability Participate in code reviews to uphold quality standards and share knowledge across the team Troubleshoot and resolve data quality issues, ensuring accuracy and consistency across datasets Contribute to the ongoing improvement of data architecture and engineering standards Document technical processes and solutions to support knowledge sharing and team onboarding Work within an agile environment, participating in sprint planning and other team ceremonies Requirements A minimum of 3 years of relevant professional experience Strong hands-on experience with PySpark and Spark SQL for building and processing large-scale data workflows Experience building and managing Lakeflow pipelines and Jobs for data orchestration Proficiency with Auto Loader and JDBC/CDC ingestion methods, working with sources such as DB2 and SQL Server Solid experience with Delta Lake and Unity Catalog for managing data storage and governance Background ensuring data quality and performing source reconciliation to maintain accurate, trustworthy datasets Experience writing unit tests using pytest to validate code reliability and correctness Working knowledge of Git and Asset Bundles for version control and deployment management Upper-intermediate English language skills or higher (B2) Nice to have Experience with DataStage migration projects Background in Dynamics 365/Dataverse data extraction Databricks certification

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