Senior Data Engineer

Tasks:

• Design, implement and maintain robust, scalable ETL/ELT pipelines using AWS services like Glue, Lambda, Step Functions and EMR.
• Architect and manage data lakes, data warehouses and streaming pipelines using S3, Redshift, Kinesis, Athena and related services.
• Optimize data workflows for performance, reliability and cost-effectiveness.
• Implement and enforce data security, access control, encryption and compliance policies.
• Ensure data quality through validation, testing frameworks and data observability practices.
• Provide technical leadership and mentorship to junior data engineers.
• Lead code reviews, design discussions and promote engineering best practices.
• Guide the team in adopting modern data engineering tools, frameworks and automation practices.
• Work closely with data science, analytics, product, and engineering teams to understand data needs and deliver high-quality datasets and infrastructure.
• Support business intelligence initiatives by enabling efficient data access and integration.

Requirements:

• 5+ years of experience in data engineering, with at least 3 years in cloud-native AWS data solutions.
• Expert knowledge of SQL and Python for data processing and transformation.
• Strong experience with AWS services: S3, Glue, Lambda, Redshift, Kinesis, Athena, Step Functions, EMR, CloudWatch.
• Proficient in data modeling schemas, partitioning and performance tuning.
• Experience with orchestration tools.
• Solid understanding of data security, governance and privacy regulations.

Onsite:

• 2 - 3 days per week onsite, in Törökbálint

Contract:

• Long term freelancer contract