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Lead Data Software Engineer

EPAM Systems

Remote · ArmeniaSalary not disclosedfull-timeEPAM Systems Careers

We're looking for a hands-on, experienced Lead Data Software Engineer who has a deep understanding of Apache Spark and large-scale distributed computing. This role covers the end-to-end lifecycle of our data infrastructure, from designing and implementing ingestion solutions to ensuring the long-term reliability and scalability of our data pipelines.

Responsibilities

  • Design and implementation of robust data ingestion solutions and pipelines using Cloud Native and Big Data technologies, including architecting key system components and selecting the appropriate tech stack to ensure long-term scalability, performance, and alignment with the broader technical roadmap
  • Team leadership through daily guidance and mentorship so the team delivers high-quality, scalable solutions on schedule, along with serving as the primary technical point of contact for customers, translating business visions into actionable technical roadmaps and managing expectations around delivery, feasibility, and…
  • Full technical stack management, including configuration management, monitoring, debugging, and performance tuning of data solutions
  • Development and maintenance of scalable data pipelines for efficient data processing and analysis
  • Partnership with cross-functional teams and data architects to identify business requirements and translate them into technical specifications
  • Code reviews and development testing leadership and participation to ensure adherence to standards, quality gates, and SDLC best practices
  • Creation and maintenance of detailed technical documentation for all data engineering projects to support transparency and knowledge sharing
  • Timely and efficient troubleshooting and resolution of data-related issues, ensuring all solutions remain high-quality, reliable, and scalable

Languages

    Work format
    Remote
    Seniority
    Lead
    Posted
    7 Oct 2026
    Last verified
    In the last 3 days

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