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

- Debug and enhance data modeling practices across OLTP (Postgres) and OLAP (StarRocks) database systems
- Design and execute schema changes, backfills, and large-scale migrations without disrupting service continuity
- Tune query performance and optimize storage design to support both transactional and analytical workloads
- Propose ongoing improvements and contribute to architectural decisions that help scale the analytics platform

Requirements

- A minimum of 3 years of relevant professional experience
- Significant, hands-on experience working as a DBA or data engineer with relational databases such as PostgreSQL at scale
- Strong knowledge of OLAP technologies, including StarRocks or equivalent columnar/analytics databases
- Experience with data warehousing concepts and practices
- Ability to debug and optimize query performance and storage design across both OLTP and OLAP systems
- Working knowledge of software development using Kotlin or Golang
- A strong inclination toward building performant, efficient, and safe data solutions at scale
- Self-motivated and collaborative, capable of working independently within a team setting while mentoring others




- Strong communication skills for engaging effectively with team members and stakeholders
- Strong written and spoken proficiency in English at a B2 level or higher

Nice to have

- Experience with AWS Aurora for managing scalable relational database services
- Background in data modeling to support efficient and reliable data structures
- Skills in database performance tuning to optimize query execution and storage efficiency
- Familiarity with Docker for containerizing applications and services
- Working knowledge of Java for software development tasks
- Experience with Kubernetes for orchestrating and managing containerized workloads
- Familiarity with Terraform for provisioning and managing infrastructure as code
- Comfort working in a Unix-based environment, including Linux for pods and macOS for workstations
- Experience with data engineering pipelines, including tools such as Flink, Kafka, and ETL/ELT processes

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
- General career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Senior Data Developer (Argentina)
🏢 EPAM Systems
📍 Argentina