Azure Data Pipeline Engineer (ADF | ADLS | Databricks)

Infosys; Hyderabad; Hybrid; INR 700,000 - 1,100,000; Full time

Job summary

Infosys in Bengaluru seeks an ADF-Data Engineer to design and maintain Azure-based data pipelines. You will build robust ETL/ELT workflows, ingest data from on-premises and cloud sources, and collaborate with analytics teams on requirements. The role emphasizes data quality, CI/CD automation, and cloud-native tooling.

Ideal candidates have 3–5 years in data engineering with hands-on Azure Data Factory experience and a passion for scalable data solutions in a dynamic environment.

Qualifications

• 3–5 years of experience in data engineering.
• Experience with Azure Data Factory.
• Location Bengaluru.

Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Build ETL/ELT solutions for data ingestion and transformation.
• Integrate data from multiple on-premises and cloud sources.
• Work with Azure Databricks, ADLS, and Azure SQL.
• Monitor and optimize pipeline performance and reliability.
• Implement data quality and validation checks.
• Automate deployments using Azure DevOps and CI/CD.
• Collaborate with business and analytics teams on data requirements.

Skills

Azure Data Factory

ETL/ELT

Azure Databricks

ADLS

Azure SQL

CI/CD

Data Quality

Tools

Azure DevOps

Azure Databricks

ADLS Gen2

Azure SQL

Job description

Job Description

Position: ADF-Data Engineer

Experience: 3 to 5 years

Location: Bengaluru

Roles & Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory.


• Build ETL/ELT solutions for data ingestion and transformation.


• Integrate data from multiple on-premises and cloud sources.


• Work with Azure Databricks, ADLS, and Azure SQL.


• Monitor and optimize pipeline performance and reliability.


• Implement data quality and validation checks.


• Automate deployments using Azure DevOps and CI/CD.


• Collaborate with business and analytics teams on data requirements.