Software Mind
Media & Entertainment
[C3T]DataPlatformEngineer(Metadata,DQ)
“[C3T] Data Platform Engineer (Metadata, DQ) at Software Mind. Skills: Data Platform Engineering, Metadata Management, Data Quality, AWS, Python, SQL. 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”
What You'll Achieve.
Develop modern analytical solutions; Build a cloud-native data ecosystem on AWS; Drive practical adoption of the data catalog and DQ mechanisms
Industry & Context.
International business trips
What They're Looking For.
Must Have
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), Experience with Metadata Management / Data Catalog tools (e. g. , DataHub, Apache Atlas, Amundsen), Experience with Data Quality tools (e. g. , Great Expectations, Soda, Deequ, or similar), Knowledge of event-driven architecture, Experience in environments with established Data Governance or Master Data Management processes, 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, Good communication skills in both Polish and English
What You'll Do.
and maintain the Metadata Management platform and Data Quality environment
Integrate the solution with the lakehouse
Automate metadata ingestion
data quality monitoring
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
and security of the environment
Produce technical documentation
How You'll Work.
Team & Collaboration
Collaborate with Data Governance, Data Engineering, and business teams to roll out standards and drive practical adoption of the data catalog and DQ mechanisms; Close collaboration with Data Engineering, Data Governance, AI, and Data Management teams
Communication Scope
Good communication skills in both Polish and English
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