Senior Data Engineer, Data & AI Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement data products and BI solutions primarily using Cloud Data Warehouses like Snowflake and Redshift.
Collaborate within Agile teams to design, test, and deploy data and analytics solutions ensuring security and data privacy.
Perform complex SQL development, performance tuning, and data migration from RDBMS and S3 to Snowflake.
Minimum Requirements
3-7 years of experience in Data Engineering and Data & BI solution development.
Bachelor’s Degree in Engineering.
Hands-on experience with Cloud Data Warehouses (Snowflake, Redshift), SQL stored procedures, and data migration to Snowflake.
Preferably located in Bangalore; standard shift timing 12 noon to 9 pm (may vary).
Ideal Candidate Profile
Experienced individual contributor comfortable working in Agile environments focused on cloud data warehouse technologies.
Strong expertise in Snowflake data modeling, ELT tools (dbt SQL, Informatica, Fivetran), and SQL performance optimization.
Familiarity with cloud platforms (AWS), scripting languages (Python, PySpark), and BI tools enhances fit for this role.