We are seeking a skilled Senior Data Engineer to join our team to help design, scale, and harden the data platform powering our world‑class Unified Communications and Collaboration (UCC) reporting stack.
Responsibilities
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Debug and enhance data modeling practices across OLTP (Postgres) and OLAP (StarRocks) database systems
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Design and execute schema changes, backfills, and large-scale migrations without disrupting service continuity
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Tune query performance and optimize storage design to support both transactional and analytical workloads
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Propose ongoing improvements and contribute to architectural decisions that help scale the analytics platform
Requirements
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A minimum of 3 years of relevant professional experience
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Significant, hands-on experience working as a DBA or data engineer with relational databases such as PostgreSQL at scale
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Strong knowledge of OLAP technologies, including StarRocks or equivalent columnar/analytics databases
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Experience with data warehousing concepts and practices
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Ability to debug and optimize query performance and storage design across both OLTP and OLAP systems
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Working knowledge of software development using Kotlin or Golang
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A strong inclination toward building performant, efficient, and safe data solutions at scale
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Self-motivated and collaborative, capable of working independently within a team setting while mentoring others
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Strong communication skills for engaging effectively with team members and stakeholders
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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 managing scalable relational database services
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Background in data modeling to support efficient and reliable data structures
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Skills in database performance tuning to optimize query execution and storage efficiency
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Familiarity with Docker for containerizing applications and services
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Working knowledge of Java for software development tasks
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Experience with Kubernetes for orchestrating and managing containerized workloads
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Familiarity with Terraform for provisioning and managing infrastructure as code
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Comfort working in a Unix-based environment, including Linux for pods and macOS for workstations
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Experience with data engineering pipelines, including tools such as Flink, Kafka, and ETL/ELT processes
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
