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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 Troubleshoot and improve data modeling approaches spanning OLTP (Postgres) and OLAP (StarRocks) database environments Plan and carry out schema updates, backfills, and large-scale migrations while keeping services running smoothly Fine-tune query performance and refine storage architecture to serve both transactional and analytical needs Suggest continuous enhancements and shape architectural choices that support scaling the analytics platform Requirements At least 5 years of relevant hands-on professional experience A minimum of one year of experience in a leadership or team management role Substantial, practical experience functioning as a DBA or data engineer working with relational databases such as PostgreSQL at scale Deep familiarity with OLAP technologies, including StarRocks or comparable columnar/analytics database systems Background in data warehousing principles and implementation Skilled at diagnosing and optimizing query performance and storage structure across both OLTP and OLAP environments Working knowledge of software development using Kotlin or Golang Strong preference for designing data solutions that are performant, efficient, and reliable at scale Self-driven and team-oriented, comfortable working autonomously while also guiding and mentoring colleagues Solid communication skills for collaborating effectively with team members and stakeholders alike Strong written and spoken proficiency in English at a B2 level or higher Nice to have Experience with AWS Aurora for handling scalable relational database management Knowledge of data modeling practices that support dependable and efficient data structures Expertise in database performance tuning to enhance query speed and storage efficiency Familiarity with Docker for building and managing containerized services Working knowledge of Java for various software development tasks Experience with Kubernetes for managing and scaling containerized workloads Familiarity with Terraform for provisioning infrastructure through code Comfortable operating within Unix-based environments, including Linux for pods and macOS for workstations Background working with data engineering pipelines, including technologies such as Flink, Kafka, and ETL/ELT workflows We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.