Senior Data Management & Data Pipelines Specialist
Tasks
- Align pipelines with data SLAs
- Conduct root cause analysis for data quality issues
- Define critical data elements and policies
- Define data quality dimensions KPIs and rule sets
- Design data governance frameworks
- Design end-to-end data pipelines
- Drive change management for data management adoption
- Embed governance and quality controls into pipelines
- Enable data cataloging
- Establish metadata management
- Implement data lineage practices
- Implement data quality monitoring
- Implement master data management
- Manage reference data capabilities
- Operationalize data governance ownership and policies
- Oversee data pipelines reliability and observability
- Partner with data and integration engineers
- Perform data profiling and remediation workflows
- Work with business owners and data stewards
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Cause analysis | Control-M | DAMA-DMBOK | Data Architecture | Data Cataloging | Data Classification | Data Factory | Data Governance | Data Lineage | Data Management | Data Modeling | Data Observability | Data Pipelines | Data Privacy | Data Quality | Data Residency | Data profiling | Data quality monitoring | Data remediation | Enterprise Data | Enterprise Data Architecture | Master Data | Master Data Management | Metadata Management | Python | Quality monitoring | Reference Data | Reference Data Management | Root Cause Analysis | Root cause | SAP ERP | SAP MDG | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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