Analyst - Data Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain end-to-end scalable ELT data pipelines using Azure Data Factory, Fivetran, and Azure Data Lake Storage within the investment and wealth management sector.
Contribute to Snowflake data modeling, write SQL/dbt transformations, and support pipeline performance and cost monitoring under senior guidance.
Assist in integrating Generative AI solutions and AI-driven tools to enhance financial insights and automate data workflows.
Minimum Requirements
3 to 4 years of relevant work experience in data engineering.
Hands-on experience with Azure, Snowflake, dbt, SQL, Python, and PySpark.
Mandatory location: Chennai, Tamil Nadu, India.
Familiarity with Generative AI and basic knowledge of Power BI/Power Platform.
Ideal Candidate Profile
Mid-level data engineer familiar with modern cloud data stacks and financial data environments.
Experience working collaboratively with senior engineers and following structured development/version control practices.
Open to learning and experimenting with emerging AI tools applied to data engineering workflows.