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Azure Data Engineer (Senior)

Azure Data Engineer (Senior)

Infogain

4 - 7 years

7 - 12 Lacs

mumbai

Posted:2 days ago| Platform:

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Skills Required

data bricks orchestration scala pipeline management pyspark data warehousing azure data factory sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a skilled Azure Data Engineer with 6-8 years of hands-on experience in designing, developing, and optimizing large-scale data platforms on Microsoft Azure. The ideal candidate will possess deep expertise in Azure Databricks, Azure Data Factory, Delta Lake, and modern data engineering practices.

Roles and Responsibility

Design, build, and maintain end-to-end data pipelines using Azure Databricks (PySpark/Scala), ADF, and Delta Lake.
Implement ETL/ELT workflows with robust logging, monitoring, orchestration, and error-handling capabilities.
Develop high-performance data ingestion frameworks for structured, semi-structured, and unstructured data.
Design and maintain data models, including Bronze-Silver-Gold architectures on the Lakehouse.
Optimize data storage and compute costs using best practices in partitioning, caching, and workload management.
Write scalable and optimized PySpark/Scala code for transformations and batch/streaming workloads.

Job Requirements

Proficiency in PySpark/Scala, SQL, Delta Lake, and Databricks workflows.
Strong experience with Azure Data Factory for orchestration and pipeline management.
Hands-on experience with Azure Data Lake Storage Gen2, Azure Synapse (SQL Pools or Serverless), Event Hub, and Key Vault.
Solid understanding of data warehousing, distributed computing, and Lakehouse principles.
Experience building and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions.
Knowledge of cloud security, encryption, access management, and compliance standards.

About Company

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Azure Data Engineer (Senior)