Role & responsibilities :
Design, develop, and maintain end-to-end data pipelines using Azure Databricks and Azure Data services
Build scalable and productive ETL/ELT workflows using Python, PySpark, and SQL
Integrate data from multiple sources (structured and unstructured) into data platforms
Optimize data processing performance and ensure data quality, reliability, and consistency
Develop and maintain data models to support analytics and reporting requirements
Create and manage interactive dashboards and reports using Power BI, Azure Databricks
Collaborate with business stakeholders to understand data requirements and deliver actionable insights
Work closely with cross-functional teams (Data Ops, Architects, DevOps)
Focuses on end-to-end strategy, AI/ML integration, and regulatory reporting capabilities.
Business & Compliance: Regulatory Reporting,, BI, AI, ML Models.





Preferred candidate profile
Solid experience with Azure Databricks and distributed data processing
Proficiency in Python for data engineering tasks
Hands-on experience with Azure Data Services (ADF, ADLS, Synapse, etc.)
Expertise in SQL and database concepts.
Solid experience in Power BI development, data modeling, and dashboard creation ,Databricks dashboard creation.
Positive understanding of data warehousing concepts (Star schema, Snowflake schema)
Experience in handling large-scale data processing and performance tuning
Familiarity with version control tools (e.g., Git) and CI/CD pipelines
Strong analytical and problem-solving skills

📌 Data Engineer Lead Mumbai
🏢 SKILLVENTORY
📍 Mumbai