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6+ Yrs Exp | Bachelor’s / Master’s in CS, Data Engineering, or Information Systems | Data Governance Lead & BI Engineering | Enterprise Product Sustainability Analytics | Hyderabad, Telangana, India | On-site | Full Time

Lead Data Governance Operations, Data Quality Architecture, and Power BI Analytics for Enterprise Product Sustainability Initiatives

Join Carrier Global Corporation as a Senior Engineer (Data Governance Lead) within the Product Sustainability Analytics team in Hyderabad, India (Raheja Mindspace, Cyberabad). Bringing a minimum of 6 years of experience in data engineering, business intelligence, and governance, this role oversees the data reliability and reporting ecosystem for Carrier’s sustainability initiatives. You will design scalable data models, enforce data governance frameworks, implement automated data quality and observability tools, and build Power BI dashboards to democratize data access across global engineering and business units.

Key Responsibilities:

  • Establish, enforce, and monitor data governance policies and data quality metrics to ensure operational accuracy, consistency, and completeness.
  • Deploy data observability tools and automated monitoring frameworks across data pipelines to detect anomalies and ensure system reliability.
  • Architect and maintain scalable relational and analytical data models tailored for enterprise reporting and sustainability analytics.
  • Design, build, and publish interactive Power BI dashboards and executive reports to drive data-driven decision-making across cross-functional teams.
  • Drive continuous process improvements in data engineering and ETL/ELT pipelines to enhance scalability, governance, and overall operational efficiency.

Tools/Technologies Used:

  • Business Intelligence & Analytics: Power BI, Dashboard Design, Executive Reporting, Data Visualization, Data Democratization
  • Data Engineering & Governance: Data Governance Frameworks, Data Quality Management, Data Observability & Monitoring, Anomaly Detection
  • Data Modeling & Architecture: Relational & Dimensional Data Modeling, ETL/ELT Process Optimization, Data Pipelines
  • Domain & Operations: Product Sustainability Analytics, ESG Data Management, Continuous Process Improvement
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