Data Engineer IV (Snowflake, DBT)

Position: Data Engineer, EDM IV

Experience: 7+ Years

Location: Bangalore (Hybrid)

Shift: General Shift

Primary Skills: Python, Git, Snowflake, DBT, SQL(advanced)

Key Responsibilities

• Develop and maintain data pipelines for ingestion, transformation, and loading of data from multiple sources using SQL, Python, and DBT

• Build and optimize data models and transformation layers in DBT

• Work extensively with Snowflake (SnowSQL, Snowpipe, query optimization, cost management)

• Support AWS-based data architecture (S3, Glue, Lambda, Redshift, CloudWatch)

• Implement and maintain workflow orchestration using Airflow or similar tools

• Enhance existing ETL/ELT workflows and improve performance and scalability

• Ensure data quality, validation, and reliability through monitoring and testing frameworks

• Collaborate with BI and Analytics teams to deliver analytics-ready datasets

• Troubleshoot data issues and support ad-hoc data requests

• Follow best practices for version control (Git), documentation, and deployment

Minimum Requirements

• 7–10 years of relevant experience in Data Engineering / Analytics Engineering

• Strong hands-on expertise in:

o Snowflake (must-have)

o DBT (must-have)

o SQL (advanced) and Python

• Experience working with AWS services (S3, Glue, Lambda, Redshift, etc.)

• Experience with workflow orchestration tools (Airflow preferred)

• Strong understanding of data warehousing, ETL/ELT, and data modeling concepts

• Working knowledge of Power BI

• Experience with Git/version control systems

Preferred Requirements

• Exposure to data observability / data quality tools

• Experience with streaming technologies (Kafka, Kinesis)

• Familiarity with data governance and cataloging tools

• Experience working in cross-functional or distributed teams

If you are keen to explore the opportunity, please share your resume on [Confidential Information]