Senior Data Engineer, Data & AI Engineering

Overview

Senior Data Engineer (Data & AI Engineering) responsible for developing data products and solutions, collaborating with Agile teams to build Data, BI, and Analytics capabilities.

What you'll do

• Develop data products and data solutions as an individual contributor.
• Collaborate in Agile teams to design, develop, test, and implement Data, BI, and Analytics solutions.
• Write complex SQL stored procedures and perform performance tuning/optimization.
• Build and support security- and privacy-maintaining data solutions.
• Perform data migration from RDBMS and S3 to Snowflake.
• Design and implement Snowflake data models and ELT workflows using dbt and Snowflake SQL.

What you'll need

• 3+ years of overall IT experience.
• Experience in data warehouse, ETL, and BI projects.
• Experience implementing cloud data warehouses such as Snowflake and Redshift.
• Expertise in Snowflake data modelling and ELT using dbt SQL / Snowflake SQL.
• Experience with Informatica and Fivetran.
• Experience working with a UNIX/Linux environment.

Nice to have

• Cloud technologies like AWS.
• Knowledge in Python, PySpark, SQL Server, PostgreSQL, MongoDB, and AWS S3.
• Experience with ML/AI technologies.
• Experience with BI tools such as PowerBI, Looker, or Hyperion.
• Bachelor’s degree in Engineering.
• Snowflake Certified Professional.

Details

• Location: Bangalore.
• Shift timing: 12 noon to 9 pm (may vary by business requirements).
• Work type: individual contributor.