Role : Azure Data Engineer | KPMG | Fintech Domain

Locations : Bangalore

Employment Type : Full-Time, Permanent (Direct Payroll with KPMG)

Work Mode : Hybrid

Experience :4- 8 years

? Notice Period : Immediate to 30Days

Key Responsibilities :

- Design and build scalable and reliable data pipelines on Azure using services like Azure Data Factory, Azure Synapse Analytics, Data Lake, and Databricks

- Develop ETL/ELT processes to ingest, transform, and store structured and unstructured data

- Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements

- Implement data governance and security best practices, including role-based access control and data masking

- Optimize data solutions for performance, scalability, and cost-efficiency

- Create and maintain documentation for architecture, data flows, and processes

- Monitor and troubleshoot production data workflows and systems

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Information Technology, or related field

- 3+ years of experience working with Azure Data Services

- Strong expertise in Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL, Databricks, and Power BI

- Proficient in SQL, Python, and Spark

- Good understanding of data modeling, data warehousing, and data lakes

- Experience with CI/CD pipelines and working in Agile teams is a plus

- Strong problem-solving and communication skills