Key Responsibilities

- Data Architecture & Pipeline Development
- Design, implement, and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Integrate structured, semi-structured, and unstructured data from multiple sources.
- Data Storage & Management
- Develop and maintain Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake solutions.
- Ensure proper indexing, partitioning, and storage optimization for performance.
- Data Governance & Security
- Implement role-based access control, data encryption, and compliance with GDPR/CCPA.
- Ensure metadata management and data lineage tracking with Azure Purview or similar tools.
- Collaboration & Stakeholder Engagement
- Work closely with BI developers, analysts, and business teams to translate requirements into data solutions.
- Provide technical guidance and best practices for data integration and transformation.
- Monitoring & Optimization
- Set up monitoring and alerting for data pipelines.
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Skills:- ETL, Python, SQL and Microsoft Windows Azure

📌 Azure Data Engineer (Bengaluru)
🏢 First Career Centre
📍 Bengaluru