Senior Manager, Data Engineering
Tasks
- Design and evolve semantic layer
- Design and operationalize data quality framework
- Ensure high availability performance and security for BI platform
- Establish AI enabled analytics capabilities in BI platform
- Guide team members on data and BI solution validation and documentation
- Lead sprint planning and delivery for assigned pipelines
- Manage and develop data engineering team members
- Manage and improve data architecture and pipelines
- Monitor data pipelines and perform root cause analysis
- Own end to end delivery of data architecture and pipeline solutions
- Partner with stakeholders to gather requirements and execute project plans
- Plan and manage Tableau platform operations and enhancements
- Track progress, risks, and dependencies
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Azure DevOps | Business Intelligence | CI/CD | Cause analysis | Data Architecture | Data Engineering | Data Governance | Data Modeling | Data Pipeline Monitoring | Data Pipelines | Data Quality | Data pipeline | Databricks | ETL | Git | Lakehouse | Machine Learning | Microsoft Fabric | Pipeline monitoring | Project Management | PySpark | Root Cause Analysis | Root cause | SQL | SQL Server | SSIS | Semantic layer | Snowflake | Spark | Tableau | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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