Senior Data Engineer
Summary
Senior Data Engineer designing and building scalable cloud-based data pipelines and data warehouse solutions using Snowflake, dbt, AWS, and Python within the supply chain domain.
We are looking for a highly experienced Senior Data Engineer with experience in designing and building scalable cloud-based data solutions. The ideal candidate should have strong hands-on expertise in Snowflake, DBT, AWS, and Python, with experience developing modern data pipelines and data warehouse solutions.
Domain Expertise:
Strong Global Supply Chain knowledge covering Demand & Supply Planning, Production & Capacity Planning, Inventory Management, Procurement & Logistics, S&OP/IBP, and NPI. (Preferably, 2+ years of relevant domain experience)
Key Responsibilities:
- Design, develop, and optimize data pipelines and ETL/ELT workflows.
- Build and maintain scalable data models in Snowflake using dbt.
- Develop Python-based data processing and automation solutions.
- Leverage AWS services such as S3, Glue, Lambda, Redshift, and EMR to build cloud-native data platforms.
- Optimize data performance, ensure data quality, and implement best practices.
- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
- Mentor junior engineers and participate in technical design discussions.
Mandatory Skills:
- Strong expertise in Snowflake
- Hands-on experience with DBT
- Advanced Python programming
- Advanced SQL and Data Warehousing concepts
- Experience with ETL/ELT pipeline development
- Git and CI/CD tools
- Strong communication and stakeholder management skills