Job Summary

We are looking for a skilled Azure Data Factory (ADF) Data Engineer to design, develop, and maintain scalable cloud-based data integration and analytics solutions. The ideal candidate will have hands-on experience in Azure Data Factory, Azure Data Lake, SQL, and up-to-date data engineering practices. You will be responsible for building robust data pipelines, enabling data-driven decision-making, and supporting enterprise-scale analytics initiatives.

You will collaborate with architects, business analysts, data scientists, and stakeholders to deliver high-quality, scalable, and secure data solutions on the Azure ecosystem.

Responsibilities

- Design, develop, and maintain end-to-end data ingestion and transformation pipelines using Azure Data Factory (ADF).
- Build and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data.
- Integrate data from multiple on-premises and cloud-based sources into enterprise data platforms.
- Develop and maintain Azure Data Lake Storage (ADLS) based data solutions.
- Monitor, troubleshoot, and optimize ADF pipelines to ensure reliability and performance.
- Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions.
- Implement data quality checks, validation mechanisms, and monitoring frameworks.
- Create reusable components, technical documentation, and best practices for data engineering projects.




- Support production deployments, issue resolution, and continuous improvement initiatives.
- Participate in code reviews and contribute to data architecture and design discussions.

Technical Requirements
- 3-5 years of experience in Data Engineering and Azure Data Platform.
- Strong hands-on experience with Azure Data Factory (ADF).
- Experience with Azure Data Lake Storage (ADLS Gen2).
- Strong SQL development skills, including query optimization and performance tuning.
- Experience in designing and maintaining ETL/ELT pipelines.
- Knowledge of Azure SQL Database, Synapse Analytics, or SQL Server.
- Understanding of data warehousing concepts and dimensional data modeling.
- Experience with source control tools such as Git/Azure DevOps.
- Familiarity with data integration patterns and cloud-based data architectures.
- Strong analytical and problem-solving skills.

Additional Responsibilities
- Infosys Data Analytics practice helps global enterprises accelerate their digital transformation through cloud, AI, advanced analytics, and modern data platforms.
- As an Azure Data Engineer, you will work on enterprise-scale data modernization initiatives involving cloud migration, data lake implementation, real-time analytics, and AI-ready data platforms.

Educational Requirements
- Bachelor of Engineering

Preferred Skills
- Azure Data Factory (ADF)

📌 Azure Data factory Data Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru