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Senior Data Engineer (Spark, Python, AWS)
Senior Data Engineer (Spark, Python, AWS)-November 2024
Virtual
Nov 1, 2025
ABOUT EPAM SYSTEMS
EPAM is a leading global provider of product development and software engineering solutions.
10,000+ employees
Consulting, Technology
VIEW COMPANY PROFILE >>
About Senior Data Engineer (Spark, Python, AWS)

  Description

  We are looking for an experienced Data Engineer with skills in Spark, Python & AWS, deep understanding of data science development and a keen eye for effective data analytics. If it's all about you – join our team and work with the world industry leader in sports apparel and equipment. On this role, you will be at the forefront of crafting data solutions that drive pivotal decisions across our company and in the project.

  WHAT YOU’LL DO

  Contribute to the creation of scalable, high-performance code that forms the backbone of our data solutions

  Ensure code coverage through efficient unit tests and demonstrate the ability to write integration tests for robust data applications

  Bring fresh ideas and actively contribute to performance optimization, ensuring our data solutions operate at peak efficiency

  Play a vital role in supporting and enhancing existing business-critical pipelines, contributing to the seamless flow of data across the organization

  WHAT YOU HAVE

  Extensive knowledge of Spark, demonstrating the ability to harness its power for scalable data solutions

  Hands-on experience in Python with a focus on writing efficient unit tests

  Familiarity with core AWS services such as S3, Redshift, Lambda

  Strong background in data integration and modeling, showcasing your expertise in ETL pipeline development and orchestration

  NICE TO HAVE

  Knowledge or experience working with Snowflake

  Fundamental knowledge of Databricks, including lakehouse architecture, Unity catalog

  Proficiency in using notebooks with Python and SQL

  WE OFFER

  Salary range 4200-5700 EUR, based on your experience and interview results

  Outstanding career development roadmap to accelerate your journey

  Engineering community of industry’s top professionals

  Certification and mentoring programs, training, and unlimited access to LinkedIn Learning

  Innovative solutions delivery to the world’s industry leaders

  Regular assessments and salary reviews

  Bonuses for participating in the referral program

  Participation in the Employee Stock Purchase Plan

  Flexible schedule and opportunity to work remotely from any place in Lithuania

  Friendly team and enjoyable working environment

  Relocation within offices in 50+ countries with throughout support for you and your family

  Three additional vacation days and four trust days a year (sick leave without a medical certificate)

  Private health insurance and corporate discounts for family members

  ABOUT EPAM

  As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our customers, enabling them to reimagine their businesses through a digital lens. We help our customers become faster, more agile and more adaptive enterprises, by delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation servicesEPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

  At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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