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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and ETL/ELT solutions in Agile Feature Teams.
Support data platform engineering using Azure Data Services, Databricks, and modern cloud technologies ensuring scalability and performance.
Implement data governance, quality controls, and support regulatory and audit readiness in data products and reporting solutions.
Minimum Requirements
4-8 years of experience in Data Engineering or Data Platform Development.
Strong proficiency in SQL, Python, and ETL development (Azure Data Factory, SSIS, Informatica, Apache Airflow).
Hands-on experience with Azure Data Platform services (Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure DevOps).
Work location: India (Hybrid).
Ideal Candidate Profile
Experienced in delivering enterprise-level data and analytics solutions within Agile delivery teams.
Familiar with banking or financial services domain, especially regulatory reporting or risk data.
Hands-on knowledge of Databricks, Snowflake, CI/CD, DevOps practices, and modern data architecture patterns.