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Senior Data Engineer

Role overview

Qualifications

  • 3+ years of data engineering experience with modern data platforms
  • Strong leadership skills to drive engineering standards and mentor other engineers
  • Proven project delivery experience building enterprise analytics solutions end to end
  • Advanced Apache Spark and PySpark skills for large-scale processing

Responsibilities

  • Design scalable data ingestion and transformation frameworks for analytics use cases
  • Build batch, near real-time, and streaming pipelines using Databricks and Apache Spark
  • Define Databricks best practices for Medallion layers, performance, and operations
  • Deliver end-to-end data products from raw ingestion through governed consumption layers

Key facts

Hard skills

Other skills

  • Leadership
  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

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.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are looking for a Senior Data Engineer to build and evolve a next-generation analytics platform with a strong focus on Databricks-based data products. You will combine hands-on delivery, technical leadership, and architecture to enable trusted, scalable, and AI-enabled data capabilities. Responsibilities Design scalable data ingestion and transformation frameworks for analytics use cases Build batch, near real-time, and streaming pipelines using Databricks and Apache Spark Define Databricks best practices for Medallion layers, performance, and operations Deliver end-to-end data products from raw ingestion through governed consumption layers Develop trusted analytical datasets and semantic models for reporting and self-service Implement data quality, lineage, monitoring, and observability across pipelines Lead proof-of-concepts and evaluate new capabilities within the Databricks ecosystem Enable AI-assisted engineering patterns and reusable accelerators for faster delivery Coordinate with engineering and analytics stakeholders to align on delivery plans Mentor engineers and promote consistent platform standards across teams Requirements 3+ years of data engineering experience with modern data platforms Strong leadership skills to drive engineering standards and mentor other engineers Proven project delivery experience building enterprise analytics solutions end to end Advanced Apache Spark and PySpark skills for large-scale processing Advanced Databricks skills in production environments, including performance tuning Strong SQL skills for transformation logic and analytics-ready datasets Solid data architecture knowledge, including Lakehouse and Medallion patterns Hands-on CI/CD and data engineering SDLC experience using Git-based workflows Strong data governance skills covering security, quality, and operational controls Excellent communication skills to lead technical discussions with cross-functional teams Upper-Intermediate English proficiency (B2) for effective collaboration Nice to have Data Architecture experience designing scalable Lakehouse patterns Data Solution Architecture experience translating business needs into platform designs Scala experience for Spark-based pipeline development

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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