Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain scalable ELT data pipelines and enterprise data warehousing for financial datasets using Azure, Snowflake, dbt, Fivetran, and ADF.
Contribute to data modelling and SQL transformations in Snowflake and dbt, ensuring data workflow reliability and performance monitoring.
Support exploration and integration of Generative AI tools to enhance financial data processing and workflow automation.
Minimum Requirements
1-4 years of experience in Data Engineering with hands-on skills in Azure, Snowflake, dbt, Databricks, Gen AI, SQL, and PySpark.
Experience with ELT pipelines, data warehousing, and data visualization tools like Power BI and Power Platform.
Location requirement: Chennai, Tamil Nadu, India.
Work Experience Required: 3-4 Years explicitly mentioned in the JD.
Ideal Candidate Profile
Experience working in financial data environments, preferably Investment and Wealth Management domain.
Comfortable with modern data engineering stacks including cloud platforms and data transformation frameworks.
Willingness to learn and support advanced AI integrations in data engineering workflows under senior mentorship.