Data Engineer(Azure)

Skill : Azure Data Engineer

Total Experience Required : 4 to 8 years

Location : Mumbai / Pune / Bangalore / Gurgaon

Overview :

We are seeking a highly skilled and motivated Data Engineer to join our growing data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data lake solutions using Azure Data Services, Apache Spark, and Big Data technologies. This role requires strong hands-on experience in data integration, transformation, and storage using tools such as Azure Synapse, Azure Data Factory, Databricks, SQL Server, and PySpark. The successful candidate will work closely with data scientists, analysts, and business stakeholders to ensure the availability, quality, and reliability of data assets for analytics and AI workloads.

Responsibilities :

• Design, build, and maintain scalable and reliable data pipelines using Azure Data Factory, Azure Synapse, and Databricks.
• Develop and optimize large-scale data processing jobs using PySpark and Spark SQL on Azure Databricks or Synapse Spark pools.
• Manage and work with large datasets stored in data lakes (ADLS Gen2) and integrate with enterprise data warehouses (e.g., SQL Server, Synapse).
• Implement robust data transformation, cleansing, and aggregation logic to support analytics and reporting use cases.
• Collaborate with BI developers, analysts, and data scientists to provision clean, reliable, and timely datasets.
• Optimize data flows for performance and cost efficiency on Azure cloud platforms.
• Implement data governance, lineage, and security practices across the data architecture.
• Troubleshoot and resolve data pipeline failures and ensure high availability and fault-tolerant design.
• Participate in code reviews, adhere to version control practices, and maintain high coding standards.

Mandatory Skill-sets :

Preferred Skill-sets :