Software Mind
Media & Entertainment
[C3T]DataPlatformEngineer(Metadata,DQ)
Neural analysis suggests this role is
optimal for mid candidates.
“[C3T] Data Platform Engineer (Metadata, DQ) at Software Mind. Skills: Metadata Management platform, Data Quality environment, cloud-native data ecosystem on AWS, data pipelines (ETL/ELT), Python, SQL, AWS, CI/CD, system integrations. 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.
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), 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
Nice to Have
Kubernetes a plus
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 and provide user support
How You'll Work.
Team & Collaboration
cross-functional engineering teams; close collaboration with Data Engineering, Data Governance, AI, and Data Management teams; Collaborate with Data Governance, Data Engineering, and business teams
Process & Methodology
project-based environment
Full Job Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. Project – the aim you’ll have 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. Position – how you’ll contribute * 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. ## Qualifications Expectations – the experience you need * Minimum 3–5 years of experience as a Data Engineer / Data Platform Engineer or in a related role. * Proven experience building and maintaining pr
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