Position: Power BI Developer
Location: Bolingbrook IL***Day 1 Onsite***
Duration: 1 Years
| Job Title/Role | Data stewart Python |
| Mandatory Skills | Data Steward: Power BI development skill set advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ |
| JD | Data Steward: Power BI development skill set advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ Enterprise Data Steward Scope of Responsibilities Role Overview & Objectives The Enterprise Data Steward is responsible for ensuring that data governance best practices are embedded across all 30 workstreams and their corresponding system(s) involved in the Loyalty Platform Re-platforming & Migration Project. The steward will enable data integrity quality and traceability across the data flow from upstream sources through the data lake to enterprise reporting layers. Primary Scope of Responsibilities includes: - Source-to-Target Mapping (STTM) Oversight
- Business Glossary & Metadata Definitions
- Data Quality Requirements Documentation & Validation
- Data Lineage Documentation
- Governance Documentation Consolidation for Audit Readiness
RACI Matrix Key Responsibilities The following summarizes the RACI roles for key governance deliverables: Source-to-Target Mapping (STTM): A/R (Data Steward) R (Workstream Leads) C (SMEs) R (ETL) Business Glossary & Metadata: A/R (Data Steward) R (SMEs) C (Workstream Leads) C (ETL) Data Quality Requirements: A/R (Data Steward) R (SMEs) C (Workstream Leads) C (ETL) Data Quality Rules Validation: A/R (Data Steward) R/C (SMEs) Data Lineage Documentation: A/R (Data Steward) C (SMEs) C (Workstream Leads) Issue Triage & Remediation: A/R (Data Steward) R (SMEs) C (Workstream Leads) Governance Documentation (Audit): A/R (Data Steward) C (All Teams) Deliverables Checklist by Project Phase Initiation / Planning Identify Workstream Data Governance Points of Contact Develop Data Governance Engagement Plan Define Initial Business Glossary Scope Create High-Level Data Flow Diagrams Design Facilitate STTM Documentation Collect Metadata & Glossary Definitions Document Data Quality Requirements Establish Data Lineage Framework Maintain Governance Deliverables Tracker Build / Development Review and Validate STTM Deliverables Validate Data Quality Rule Implementation Document Data Lineage Track Governance Gaps & Issues Testing Support Data Quality Validation (SIT/UAT) Coordinate Data Quality Issue Triage & Remediation Deployment / Post Go-Live Finalize Governance Documentation (ex: Business Glossary STTM) Ensure Post-Go-Live Data Quality Monitoring Processes |
Position: Power BI Developer Location: Bolingbrook IL***Day 1 Onsite*** Duration: 1 Years Job Title/Role Data stewart Python Mandatory Skills Data Steward: Power BI development skill set advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ JD Data Steward: Power BI ...
Position: Power BI Developer
Location: Bolingbrook IL***Day 1 Onsite***
Duration: 1 Years
| Job Title/Role | Data stewart Python |
| Mandatory Skills | Data Steward: Power BI development skill set advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ |
| JD | Data Steward: Power BI development skill set advanced SQL DAGs/Airflow/Composer Spark Python Collibra DQ Enterprise Data Steward Scope of Responsibilities Role Overview & Objectives The Enterprise Data Steward is responsible for ensuring that data governance best practices are embedded across all 30 workstreams and their corresponding system(s) involved in the Loyalty Platform Re-platforming & Migration Project. The steward will enable data integrity quality and traceability across the data flow from upstream sources through the data lake to enterprise reporting layers. Primary Scope of Responsibilities includes: - Source-to-Target Mapping (STTM) Oversight
- Business Glossary & Metadata Definitions
- Data Quality Requirements Documentation & Validation
- Data Lineage Documentation
- Governance Documentation Consolidation for Audit Readiness
RACI Matrix Key Responsibilities The following summarizes the RACI roles for key governance deliverables: Source-to-Target Mapping (STTM): A/R (Data Steward) R (Workstream Leads) C (SMEs) R (ETL) Business Glossary & Metadata: A/R (Data Steward) R (SMEs) C (Workstream Leads) C (ETL) Data Quality Requirements: A/R (Data Steward) R (SMEs) C (Workstream Leads) C (ETL) Data Quality Rules Validation: A/R (Data Steward) R/C (SMEs) Data Lineage Documentation: A/R (Data Steward) C (SMEs) C (Workstream Leads) Issue Triage & Remediation: A/R (Data Steward) R (SMEs) C (Workstream Leads) Governance Documentation (Audit): A/R (Data Steward) C (All Teams) Deliverables Checklist by Project Phase Initiation / Planning Identify Workstream Data Governance Points of Contact Develop Data Governance Engagement Plan Define Initial Business Glossary Scope Create High-Level Data Flow Diagrams Design Facilitate STTM Documentation Collect Metadata & Glossary Definitions Document Data Quality Requirements Establish Data Lineage Framework Maintain Governance Deliverables Tracker Build / Development Review and Validate STTM Deliverables Validate Data Quality Rule Implementation Document Data Lineage Track Governance Gaps & Issues Testing Support Data Quality Validation (SIT/UAT) Coordinate Data Quality Issue Triage & Remediation Deployment / Post Go-Live Finalize Governance Documentation (ex: Business Glossary STTM) Ensure Post-Go-Live Data Quality Monitoring Processes |
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