onsite
Junior Data Engineer - Luxoft
Data Engineer
Entry‑level Data Engineer focused on building data pipelines, migrating treasury data to a data lake, and supporting liquidity, capital, and regulatory reporting solutions using Python, SQL and Hadoop technologies.
About the role
Key Responsibilities
- Analyze user requirements and translate them into technical specifications for data migration and reporting.
- Design, develop, and maintain ETL pipelines that move treasury system data into a centralized data lake.
- Write clean, efficient Python and SQL code to transform and load data across the Hadoop ecosystem.
- Document data models, pipeline changes, and configuration updates for audit and compliance purposes.
- Participate in periodic change and configuration management meetings to ensure alignment with regulatory and business goals.
Requirements
- 0–1 years of professional experience in data engineering or related fields.
- Proficiency in Python programming and SQL query writing.
- Intermediate knowledge of Hadoop ecosystem components (e.g., HDFS, Hive, Spark).
- Familiarity with data lake concepts and best practices for data ingestion.
- Strong analytical skills and ability to work collaboratively in a cross‑functional team.