Data Engineer

Svitla Systems is seeking a skilled Data Engineer to join a large-scale data platform modernization project for a global industry leader. You will work within a dedicated data engineering function to execute critical migrations and support the transition to a modern, high-performance data architecture.

Key responsibilities

• Execute the migration of approximately 1,000 datasets to Snowflake with Apache Airflow 3 orchestration.
• Migrate existing data pipelines from Apache Airflow 2 to Airflow 3 and transition pipelines from Hive to Iceberg.
• Manage Confluent connection migrations to new regions.
• Adapt and optimize data pipelines for Snowflake while maintaining high standards of data quality and reliability.
• Support ongoing workflow scheduling and monitoring within the Apache Airflow environment.

Requirements

• Minimum of 3 years of professional experience working with large-scale datasets, specifically using Airflow and Spark.
• Strong software engineering fundamentals with hands-on Python development expertise.
• Advanced SQL skills, including complex joins, window functions, and performance tuning.
• Proven experience with Snowflake data modeling and AWS S3 data lake management.
• Solid understanding of Apache Kafka, PySpark, and modern data formats like Iceberg and Parquet.

What we offer

• Engagement in challenging US and EU projects utilizing advanced technologies.
• Regular performance appraisals to support your professional growth and career progression.
• Generous time-off policy, including vacation, national holidays, and sick leave.
• Access to personalized learning programs, tech webinars, and community meetups.
• A supportive, friendly team environment with regular online corporate activities.