Data Engineer

Responsibilities

• Expand the Data Lake: Integrate different data sources and work on various use cases for analytics and BI.
• Design, Build, Test, and Manage Data Management Systems: Describe and map data from different source systems to the target data store.
• Apply Data Governance Principles: Ensure data governance and apply principles concretely.
• Infrastructure as Code: Utilize experience with infrastructure as code.
• Technical Skills:
  • Knowledge of Python, Go, Spark, SQL.
  • Knowledge of AWS cloud platform and big data services such as EMR, Glue, S3, Athena, RDS.
  • Experience with Apache AirFlow.
• ELT Pipelines: Set up ELT pipelines to make data from different source systems available on the platform via tooling or self-written connectors.
• DBT for Data Transformation: Get started with dbt to transform data and collaborate effectively with team members.
• Monitor Data Quality: Ensure data quality is maintained.
• Communicate and Collaborate: Translate complex matters to the business in a simple way, and work effectively as a team player.

Desired Qualifications

• AWS Solution Architect Certification: A plus.
• Experience in the Media Sector: A plus.

Skills:

Data Engineering,AWS