Lead data engineering projects to build and operationalize data solutions for business using Azure services in combination with custom solutions – Azure Data Factory, Azure Data Flows, Azure Databricks, Azure Data Lake Gen 2, Azure SQL etc
Proven experience on leading a team of data engineers providing technical guidance and ensuring alignment with agreed architectural principles
Experience in migrating on-premise data warehouses to data platforms on AZURE cloud
Designing and implementing data engineering, ingestion and transformation functions using ADF, Databricks
Proficient in Py-Spark
Experience in building Python based APIs on Azure Function Apps
Experience on Azure Logic apps
Experience in Lakehouse/Datawarehouse implementation using contemporary data platform architecture
Capacity Planning and Performance Tuning on ADF & Databricks pipelines
Support data visualization development using Power BI
Exposure across all the SDLC process, including testing and deployment
Experience in relational and dimensional modelling, including big data technologies




Experience in Azure DevOps – Build CI/CD pipelines for ADF, ADLS, Databricks, Azure SQL DB etc
Experience of working in secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities
Good to have knowledge on Apigee (Googles API Management)
Understanding of data masking, encryption and other practices used in handling sensitive data
Ability to interact with Business for requirement gathering and query resolutions
Working on off shore office based development teams, collaborating within a team environment and participating in typical project lifecycle activities such as requirement analysis, testing and release
Develop Azure Data skills within the team through knowledge sharing sessions, articles, etc.
Adherence to organisations Risk & Controls requirements
Should have skills for Stakeholder management, process adherence, planning & documentationss

📌 Lead/ Senior Azure Data Engineer_ Exp: 8+ Years (Mumbai)
🏢 Atyeti
📍 Mumbai