Lead- Data Solutions and Analytics- Support
IN025 Embassy Manyata Business Park, India
INR 3000K-4200K (estimate) Senior-level Full Time
Tasks
- Apply DevOps, DataOps, and Agile methodologies
- Build and optimize Azure Data pipelines
- Conduct failure mode and effects analysis
- Define support operational KPIs and reporting
- Design and tune complex SQL queries
- Develop SQL scripts for reporting and ETL
- Develop data models for reporting and decision making
- Implement automation observability and monitoring frameworks
- Implement security governance and data governance policies
- Lead data solutions and analytics support
- Manage RBAC and Key Vault and row level security
- Manage major incident process and post incident reviews
- Manage version control and CI/CD pipelines
- Mentor and lead data engineering support team
- Monitor pipeline performance triage incidents and adapt pipelines
- Perform data profiling cleansing and validation
- Perform root cause analysis using standardized methods
- Set up alerting runbooks and operational KPIs
Perks/Benefits
Skills/Tech-stack
Alerting | Automation | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure DevOps | Azure Key Vault | Azure SQL | Azure Synapse | Bitbucket | CAPA | CI/CD | Cause analysis | Data Cleansing | Data Factory | Data Governance | Data Lake | Data Modeling | Data Pipeline Monitoring | Data Validation | Data pipeline | Data profiling | FMEA | Git | Incident Management | Jenkins | Key Vault | Observability | Performance Tuning | Pipeline monitoring | Power BI | PySpark | RBAC | Root Cause Analysis | Root cause | Row Level Security | Runbooks | SQL | Spark SQL | Stored Procedures | T-SQL
Education
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