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Senior Data Engineer

We are looking for a Senior Data Engineer for our clients project in the telecommunications industry.

Helyszín

Törökbálint 2045

Munkarend

Hybrid

Heti óraszám

Full time

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