Senior Data Engineer (Data CoE)

• Research new technologies and design complex, secure, scalable, and reliable solutions, focusing on ETL process enhancement
• Work with the modern data stack to deliver well-designed technical solutions
• Implement data governance practices
• Collaborate effectively with customer teams
• Take ownership of major solution components and their delivery
• Participate in requirements gathering and propose architecture approaches
• Lead data architecture implementation
• Develop core modules and scalable systems
• Conduct code reviews and write unit/integration tests
• Scale distributed systems and infrastructure
• Build/enhance data platforms leveraging AWS or Azure

• 5+ years of experience with Python and SQL
• Hands-on experience with AWS services (API Gateway, Kinesis, Athena, RDS, Aurora)
• Proven experience building ETL pipelines for analytics/internal operations
• Experience developing and integrating APIs
• Solid understanding of Linux OS
• Familiarity with distributed applications and DevOps tools
• Strong troubleshooting/debugging skills
• English level: Upper-Intermediate

WILL BE A PLUS:

• 2+ years with Hadoop, Spark, or Airflow
• Experience with DAGs/orchestration tools
• Experience with Snowflake-based data warehouses
• Experience developing event-driven data pipelines

PERSONAL PROFILE

• Strong communication skills
• Interest in dynamic, research-focused environments
• Passion for innovation and continuous improvement