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Lead Python Data Engineer

EPAM Systems

Role overview

Qualifications

  • Minimum of 5 years of experience in Data Software Engineering
  • 1+ years of relevant leadership experience
  • Proficiency in Python and hands-on experience with Azure Data Factory
  • Strong understanding and practical knowledge of Databricks

Responsibilities

  • Develop and maintain data pipelines in Azure, with a specific focus on DQ framework development
  • Collaborate with cross-functional teams to design, develop, and implement data solutions
  • Create and implement data models and processes for data extraction, transformation, and loading
  • Optimize and monitor data pipeline performance and reliability

Key facts

Hard skills

Other skills

  • Analytical Skills
  • Problem Solving
  • 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 in search of a skilled Lead Python Data Engineer to join our team. The successful candidate will play a crucial role in developing data pipelines in Azure, with a primary focus on building a Data Quality framework. Responsibilities Develop and maintain data pipelines in Azure, with a specific focus on DQ framework development Collaborate with cross-functional teams to design, develop, and implement data solutions Create and implement data models and processes for data extraction, transformation, and loading Optimize and monitor data pipeline performance and reliability Ensure data quality and integrity throughout the data pipeline process Troubleshoot and resolve data pipeline issues in a timely manner Contribute to the continuous improvement of data engineering best practices Provide technical guidance and support to team members as necessary Requirements Minimum of 5 years of experience in Data Software Engineering 1+ years of relevant leadership experience Proficiency in Python and hands-on experience with Azure Data Factory Strong understanding and practical knowledge of Databricks Ability to design, develop, and maintain scalable data pipelines Solid understanding of data modeling, data access, and data storage techniques Experience with data pipeline orchestration and workflow management Strong analytical and problem-solving abilities Excellent written and verbal communication skills B2+ English level proficiency

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Marcus Rivera

Chief Revenue Officer

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