SQL, DWH, Data Steward

• Primary skills: DWH, Data Steward, SQL

Key Responsibilities:

• Lead SQL-driven analysis and development to support enterprise reporting, governance, and stewardship needs.
• Design, enhance, and maintain DWH structures (fact/dimension models), ensuring scalability, performance, and consistency.
• Own data stewardship activities including data definitions, business glossary alignment, metadata management, and stewardship workflows.
• Implement and monitor data quality rules, issue management processes, and remediation tracking with stakeholders.
• Partner with ETL teams to define source-to-target mappings, validate transformations, and ensure reliable data pipelines.
• Drive data governance practices including policy adherence, access controls, and standardization of key data elements.
• Develop and support Power BI datasets, semantic layers, and dashboards aligned to governed metrics and definitions.
• Conduct root-cause analysis for data issues across source systems, ETL, and warehouse layers; recommend corrective actions.
• Collaborate with business and technical teams to gather requirements and translate them into governed data solutions.
• Provide technical guidance and reviews for SQL, ETL logic, and DWH design to ensure best practices and consistency. Minimum Qualifications:
• BTECH, MTECH, MCA, or MSC.
• 5–8 years of experience working with SQL, data warehousing (DWH), and data stewardship in enterprise environments.
• Strong hands-on SQL skills for data profiling, validation, reconciliation, and performance tuning.
• Experience supporting ETL processes and validating end-to-end data movement into a warehouse.
• Working knowledge of data governance concepts, data quality practices, and stewardship operating models.
• Experience building or supporting Power BI reporting with a focus on consistent metrics and trusted datasets. Preferred Qualifications:
• Proven experience defining and operationalizing data governance frameworks (standards, controls, stewardship processes).
• Strong understanding of dimensional modeling, data marts, and enterprise reporting patterns.
• Experience with data lineage, metadata management, and business glossary implementation in collaboration with stakeholders.
• Ability to lead cross-functional discussions, influence data standards adoption, and drive closure on data quality issues.
• Experience optimizing ETL workflows and improving reliability, auditability, and reconciliation of warehouse loads.
• Advanced Power BI experience including data modeling, DAX measures, and performance optimization of reports/datasets.