​Junior Data Integration Engineer​

We are seeking a Junior Data Integration Engineer to support the development and delivery of analytics-ready data products. You will work on ETL/ELT pipelines, transform and model data in a cloud data warehouse, contribute to trusted datasets and reporting layers used by the business and data issue resolution while building practical experience with modern data engineering tools, cloud solutions, and delivery best practices.

Responsibilities

• Build and maintain ETL/ELT pipelines to ingest and transform data into analytics-ready datasets
• Develop and maintain data models (e.g., star schema concepts, facts/dimensions, grains, keys) for reporting and analytical use cases
• ​Gain practical proficiency with modern data engineering tools and technologies
• ​Apply analytics engineering best practices: version control, reusable patterns, documentation, and basic automated checks/tests
• ​Write clean, efficient, well-documented SQL for transformations and analytics layers; use Python where appropriate for automation and data handling
• ​Contribute to high-quality, timely software delivery projects
• ​Resolve data-related issues effectively​

Requirements

• Bachelor’s Degree in Information Technology, Computer Science or related field
• ​Experience in software implementation, delivery or related roles
• ​Proficient in Python and SQL with strong understanding of basic data structures
• ​Fundamental understanding of at least one software development lifecycle (SDLC) methodology, such as Waterfall or Agile
• Fundamental understanding of data modelling concepts (facts vs dimensions, grain, primary/foreign keys, normalization vs denormalization)
• Basic understanding of analytics/data lifecycle: source → transform → model → validate → publish/consume
• ​Proactive learning mindset with a strong desire to adopt new technologies and methodologies
• ​Demonstrated problem-solving skills and meticulous attention to detail​

Nice to have

• Experience in data warehousing implementation or data-related projects
• Familiarity with a cloud data warehouse (Synapse, BigQuery / Snowflake / Redshift / Databricks SQL) and basic performance concepts (partitioning, clustering, query cost)
• Familiarity with orchestration/tools (ADF, Airflow, Prefect) and data quality/testing concepts
• ​Experience with cloud platforms (AWS, Azure, GCP)​

Benefits

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023.

• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters

• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices

• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey

• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us