- 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 modern 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
Key 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
- Solid 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
Preferred Skills:
Technology->Cloud Integration->Azure Data Factory (ADF)
📌 Azure Data factory Data Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru
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