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.
- Strong 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

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