Software Mind is seeking a Data Platform Engineer to join a dynamic Media & Entertainment project focused on building modern analytical solutions. You will play a key role in developing a cloud-native data ecosystem on AWS, with a specific emphasis on metadata management and data quality, while collaborating with cross-functional teams to shape organizational data standards.
Key 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.
- Collaborate with Data Governance and Data Engineering teams to drive the adoption of data catalog and DQ mechanisms.
Requirements
- Minimum 3–5 years of experience as a Data Engineer or Data Platform Engineer.
- Proven experience building and maintaining production data pipelines (ETL/ELT).
- Strong proficiency in Python for automation and integrations, alongside advanced SQL skills.
- Hands-on experience working in an AWS environment.
- Solid knowledge of CI/CD practices and GitHub.
- Experience implementing data validation, testing, or quality control mechanisms.
What we offer
- Flexible employment and fully remote work environment.
- Engagement in international projects with leading global clients.
- Access to internal and external training programs and language classes.
- Comprehensive private healthcare, insurance, and well-being initiatives.
- A non-corporate atmosphere that values creativity and professional growth.