Analyst - Data Engineering
LatentView Analytics (company site, opens in a new tab)3–4 yrsChennaiOn-siteDirect career pageEst. 8–16 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About 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.