The role involves close collaboration with Data Analysts, Architects, Engineering teams, and Business Stakeholders to deliver high-quality, robust, and performance-driven data solutions.

Key Responsibilities:

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- Work closely with business stakeholders and Data Analysts to understand business and data requirements.
- Perform ad hoc data analysis and transformation using Databricks, MS Fabric, and Azure Synapse Analytics.
- Build metadata-driven data ingestion frameworks using Azure Data Factory, Databricks, MS Fabric, and Synapse.
- Design, develop, and maintain on-premises SQL Data Warehouse solutions.
- Develop and maintain business-focused data products and Azure Analysis Services cubes.
- Build scalable ETL and ELT pipelines for enterprise data processing.
- Collaborate with Architecture and Engineering teams to ensure best practices across code, infrastructure, and deployment.
- Develop Infrastructure-as-Code deployment pipelines and CI/CD automation processes.
- Contribute to engineering standards, documentation, governance, and knowledge-sharing initiatives.




- Support modern data architecture implementations including Lakehouse and Medallion architecture frameworks.

Required Skills & Technologies:

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- Strong experience in Azure Data Factory, Databricks, MS Fabric, Azure Synapse Analytics, and ADLS Gen2.
- Expertise in Python, PySpark, T-SQL, SQL Server, SSIS, SSAS, and SSRS.
- Robust knowledge of ETL/ELT development and enterprise data pipeline architecture.
- Hands-on experience with Data Warehousing concepts including Star Schema and Snowflake Schema.
- Experience building scalable and performant data platforms in Azure environments.
- Knowledge of CI/CD pipelines, source control, and Infrastructure-as-Code deployments.
- Familiarity with modern data engineering practices including Lakehouse and Medallion architecture.
- Strong analytical, troubleshooting, and problem-solving capabilities.
- Excellent communication and stakeholder management skills.
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📌 Data Engineer (Mumbai)
🏢 Talent Aquisition Consultant
📍 Mumbai