Azure Data Engineer – Offshore, India

Experience: 8–10+ years

Engagement: 3 months

Location: Offshore, India

Role Summary We are looking for an experienced Azure Data Engineer to design, develop, and optimize data integration and ETL/ELT pipelines using Microsoft Azure technologies. The resource will work with the CIT Data Team to build scalable data solutions and integration feeds across various applications.

Key Responsibilities
Design and develop data pipelines using Azure Data Factory (ADF).
Build and optimize integrations across ADLS, Azure Synapse, Databricks, Azure SQL, SAP, XML, flat files, and databases.
Develop ETL/ELT solutions using SQL, Python/PySpark, Spark, and Azure services.
Perform data modeling, data warehousing, data governance, metadata, and data quality activities.
Optimize pipeline performance and ensure adherence to IFC technical standards.
Develop unit/integration test cases and support application feed testing.
Prepare technical/functional design documents and other project artifacts.




Work in an Agile/SDLC setting and collaborate with project leads and business/data teams.

Mandatory Skills
Robust hands-on experience with Azure Data Factory, Azure Databricks, ADLS, Azure Synapse, Azure SQL.
Strong SQL Server/Oracle and complex SQL query skills.
Experience with Python/PySpark and Spark.
Strong ETL/ELT and data warehouse/data lake experience.
Experience with Informatica and/or SSIS is an advantage.
Knowledge of Azure Functions, Logic Apps, Automation, PowerShell, AzCopy, Azure DevOps/ARM templates.
Robust understanding of data architecture, modeling, ingestion, curation, and raw/enriched/curated data layers.
Experience delivering end-to-end data warehousing, BI, and analytics projects.
Bachelor’s degree in Computer Science, Engineering, MIS, or related field.

Preferred: Experience with real-time/near-real-time data warehousing and enterprise data integration. Skills: data,sql,azure,data warehousing,etl

📌 Azure Data Engineer Chennai
🏢 Valam Solutions
📍 Chennai