Shift Timings- 10:00 AM to 7:00 PM

Work Mode - Work from Office (5 Days Working)

Job Type - Full Time/Permanent
Key Skills - Big Data Tech Stack (Hadoop, Hive, Spark, Scala), Pyspark, Azure Data Stack (Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake, Azure Delta Lake), Documentation

Overview:

We are looking for an Azure Data Engineer to design and build scalable data solutions within the Azure ecosystem.

Responsibilities:
Develop and manage data storage solutions (ADLS , Blob Storage, Azure SQL, Synapse).
Build and orchestrate ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. (databricks cluster, architecture etc)
Implement infrastructure as code and CI/CD using Azure DevOps.
Ensure security and identity management with Azure AD, Key Vault, and Managed Identities.
Monitor, optimize, and scale solutions with native Azure services.
Hadoop, HDFS, Sqoop

Skills Required:
Hands-on experience with Azure Data Services (ADLS, Synapse, Databricks, SQL).
Robust knowledge of Python, SQL/T-SQL, and Azure CLI/PowerShell.
Familiarity with real-time/batch data processing in Azure.
Valuable understanding of Azure security and compliance.

📌 Senior Data Engineer Kolkata
🏢 Walking Tree
📍 Kolkata