Job highlights

- Experienced Azure Data Engineer with expertise in Azure Databricks, Data Factory, Data Lake, Synapse, U-SQL, and CI/CD tools like ARM, YAML, Terraform

- Develop and maintain data pipelines, create data products, code using U-SQL, Spark, and T-SQL, and build contemporary data warehouse solutions on Azure Stack

Responsibilities:

- Collaborate with multiple teams to develop and maintain Data Pipelines, harvesting data from Systems of Record to create data products.

- Engage in complex coding activities using U-SQL, Spark (Scala or Python), and T-SQL.

- Develop modern data warehouse solutions utilizing the Azure Stack (Data Lake, Data Factory, Databricks).

- Analyze data and strategize for populating data lakes.

Skills/Qualifications:

- experience as an Azure Data Engineer, including hands-on experience with Azure Databricks.

- Proven ability to transform business use cases and requirements into technical solutions.

- Expertise in Azure services: Data Factory, Data Lake, Synapse, Data Lake Analytics & U-SQL, SQL DW.

- Proficiency in Python, Spark, and SQL.

- Experience with Azure DevOps and CI/CD (using ARM, YAML, Terraform).

- Familiarity with source code control systems such as GIT

📌 Azure Data Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune