[C3T] Data Platform Engineer (Metadata, DQ)

Software Mind

20h•Remote

About The Position

Join a Media & Entertainment project building modern analytical solutions. You'll help develop a cloud-native data ecosystem on AWS, focused on metadata management and data quality. Key selling points: real ownership of a critical data platform component, work with modern open-source tooling, and close collaboration with Data Engineering, Data Governance, AI, and Data Management teams shaping organizational data standards.

Requirements

Minimum 3–5 years of experience as a Data Engineer / Data Platform Engineer or in a related role.
Proven experience building and maintaining production data pipelines (ETL/ELT).
Strong proficiency in Python (APIs, automation, integrations) and SQL.
Hands-on experience working in an AWS environment.
Solid knowledge of CI/CD practices and GitHub.
Experience implementing data validation, data testing, or data quality control mechanisms within pipelines.
Experience with system integrations (REST API, GraphQL, or similar).
Understanding of Data Governance, Metadata Management, Data Lineage, and Data Quality concepts.
Ability to work independently in a project-based environment.

Responsibilities

Implement, configure, and maintain the Metadata Management platform and Data Quality environment.
Integrate the solution with the lakehouse, data warehouse, domain systems, and analytical tools.
Automate metadata ingestion, data lineage, data quality monitoring, and DQ reporting.
Implement and maintain the metamodel and technical mechanisms for enforcing data quality rules.
Develop and extend integrations between Data Quality and Metadata Management solutions.
Monitor the stability, performance, and security of the environment.
Collaborate with Data Governance, Data Engineering, and business teams to roll out standards and drive practical adoption of the data catalog and DQ mechanisms.
Produce technical documentation and provide user support.