We are on the lookout for an accomplished Lead Data Engineer to join our team and help architect, expand, and fortify the data platform behind our industry-leading Unified Communications and Collaboration (UCC) reporting stack.
Responsibilities
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Troubleshoot and improve data modeling approaches spanning OLTP (Postgres) and OLAP (StarRocks) database environments
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Plan and carry out schema updates, backfills, and large-scale migrations while keeping services running smoothly
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Fine-tune query performance and refine storage architecture to serve both transactional and analytical needs
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Suggest continuous enhancements and shape architectural choices that support scaling the analytics platform
Requirements
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At least 5 years of relevant hands-on professional experience
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A minimum of one year of experience in a leadership or team management role
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Substantial, practical experience functioning as a DBA or data engineer working with relational databases such as PostgreSQL at scale
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Deep familiarity with OLAP technologies, including StarRocks or comparable columnar/analytics database systems
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Background in data warehousing principles and implementation
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Skilled at diagnosing and optimizing query performance and storage structure across both OLTP and OLAP environments
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Working knowledge of software development using Kotlin or Golang
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Strong preference for designing data solutions that are performant, efficient, and reliable at scale
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Self-driven and team-oriented, comfortable working autonomously while also guiding and mentoring colleagues
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Solid communication skills for collaborating effectively with team members and stakeholders alike
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Strong written and spoken proficiency in English at a B2 level or higher
Nice to have
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Experience with AWS Aurora for handling scalable relational database management
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Knowledge of data modeling practices that support dependable and efficient data structures
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Expertise in database performance tuning to enhance query speed and storage efficiency
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Familiarity with Docker for building and managing containerized services
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Working knowledge of Java for various software development tasks
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Experience with Kubernetes for managing and scaling containerized workloads
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Familiarity with Terraform for provisioning infrastructure through code
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Comfortable operating within Unix-based environments, including Linux for pods and macOS for workstations
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Background working with data engineering pipelines, including technologies such as Flink, Kafka, and ETL/ELT workflows
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
