WE ARE HIRING | AZURE ETL DATA ENGINEER

Location: Bangalore
Experience: 6+ Years
Employment Type: Full time (FTE)
Notice Period: Immediate to 15 Days

Job Overview

We are looking for an experienced Azure ETL Data Engineer with strong hands-on expertise in Microsoft Azure data engineering technologies.

The ideal candidate should have experience in building scalable ETL/ELT pipelines, data migration, data integration, and transformation solutions using Azure Data Factory, Azure Databricks, PySpark, Python, and SQL.

Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
Migrate data from SQL Server to Microsoft Azure.
Develop data transformation workflows using Python, PySpark, Spark, and SQL.
Work with Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics.
Optimize SQL queries, data pipelines, and ETL processes.
Implement data orchestration, scheduling, monitoring, and error handling.
Develop relational and dimensional data models.
Handle end-to-end development, testing, deployment, and production support.
Collaborate with cross-functional teams in an Agile workplace.

Mandatory Technical Skills




Azure Data Factory (ADF)
Azure Databricks
Azure Data Lake Storage (ADLS)
Azure SQL Database
Azure Synapse Analytics
Python, PySpark, and Spark
SQL Server and T-SQL
SSIS
ETL/ELT Pipeline Development
SQL Server to Azure Data Migration
Data Modelling (Relational & Dimensional)
Git and Jenkins

Preferred Skills
Microsoft Azure Data Engineer Certification (DP-203 or equivalent).
Experience with Hadoop, Sqoop, and Shell Scripting.
Knowledge of Java and Scala.
Experience with CI/CD and automated deployments.
Familiarity with JIRA, Confluence, and Microsoft Teams.
Knowledge of Datadog, PowerShell, and cloud data architecture.

Candidate Requirements
6+ years of experience in Data Engineering / ETL Development.
Minimum 3+ years of hands-on experience in Azure Data Engineering.
Robust experience in designing and implementing end-to-end data pipelines.
Good understanding of cloud data architecture and performance optimization.
Bachelor's degree or equivalent technical qualification.

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Work Location: In person

📌 Azure Etl Data Engineer Bengaluru
🏢 Fugentex Solutions
📍 Bengaluru