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 :
- 710 years of relevant experience in Data Engineering / Analytics Engineering
- Strong hands-on expertise in :
- Snowflake (must-have)
- DBT (must-have)
- 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 shalu.kumari@numerictech.com
Numeric Technologies India