Senior Data Engineer

Role Overview

Join Exadel as a Senior Data Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team.

What You Will Do

Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets. Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs. Build and maintain data lakes and feature stores used by ML Engineering team to develop ML solutions for subrogation.

Why It Might Be a Fit

Strong proficiency in Python and SQL. Experienced in Spark or similar distributed processing technologies. Deep experience with AWS data services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS).

Requirements

• Strong proficiency in Python and SQL
• Experienced in Spark or similar distributed processing technologies
• Deep experience with AWS data services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS)
• Experience working with data streaming technologies (Kafka, Spark Streaming, etc.)
• Experienced in data modeling (preferably in finance or insurance)
• Familiarity with MongoDB and document-oriented data sources
• Experience with data lake patterns: medallion architecture (bronze/silver/gold), schema management, incremental processing
• Comfort with IaC (CloudFormation or Terraform)
• Ability to debug data quality issues across distributed systems
• Experience implementing data quality frameworks (e.g., Great Expectations) to ensure pipeline reliability and data integrity

Benefits

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Well-being program
• Team events & local benefits
• Sports compensation
• Referral bonuses
• Top-tier equipment provision