Lead Data Developer

EPAM Systems; Argentina; Presencial; ARS 180.985.000 - 271.477.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Learning resources

Career opportunities

Descripción de la vacante

EPAM Systems in Argentina is seeking a Lead Data Engineer to architect, scale, and secure the data platform powering our UCC reporting stack. You will lead data engineering efforts across OLTP/PostgreSQL and OLAP/StarRocks, drive schema changes, and optimize queries for performance at scale.

You will mentor teammates, collaborate with cross-functional partners, and help shape the data strategy, ensuring reliable, efficient data delivery and scalable analytics capabilities across the organization.

Formación

• 5+ years of hands-on experience in data engineering/DBA roles
• 1+ year in leadership or team management
• Extensive experience with PostgreSQL at scale
• Strong knowledge of OLAP technologies (StarRocks or similar)
• Background in data warehousing principles and implementation
• Expertise in query performance tuning and storage optimization
• Proficiency with Kotlin or Golang for data tooling
• Strong communication and mentoring abilities
• English language proficiency at B2 level or higher

Responsabilidades

• Architect and fortify data platform for UCC reporting stack
• Troubleshoot data models across OLTP and OLAP environments
• Plan schema updates, backfills, and large migrations
• Tune queries and storage for transactional and analytical workloads
• Mentor teammates and collaborate with stakeholders

Conocimientos

Data leadership

PostgreSQL

OLAP/StarRocks

Data warehousing

SQL tuning

Kotlin

Golang

English (B2)

Herramientas

Docker

Kubernetes

Terraform

Kafka

Flink

Descripción del empleo

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