01Overview
Dear Aspirant
We empower our people to stay resilient and relevant in a constantly changing world. Were looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you Then it seems like youd make a great addition to our vibrant international team.
We are looking for: Analytics Engineer for Operations/Manufacturing
Youll make an impact by:
- Design data models and pipelines that improve data consumption and business intelligence across key operational domains.
- Build Snowflake and dbt transformations that support advanced analytics and machine learning capabilities.
- Optimize cloud-based data architectures for secure, scalable, reliable, and cost-effective data processing.
- Streamline data development and deployment using GitHub, version control, and CI/CD pipelines.
- Enable analytics for Manufacturing/Operations, PLM/Engineering, QM, SCM, Intralogistics, Warehouse, and Supplier Quality Management.
- Implement data governance, quality, performance, compliance, and security standards from launch onward.
- Collaborate with data scientists, analysts, business teams, and the Data Hub Team to deliver effective data solutions.
- Improve engineering practices by staying current with Snowflake, dbt, data engineering, and analytics trends.
Use your skills to move the world forward
- Bring 5+ years of Data Engineering experience focused on data modeling and pipeline development.
- Apply strong SQL skills to design data models and ETL/ELT workflows.
- Use Snowflake and dbt to build, maintain, and optimize cloud-based data warehouse solutions.
- Develop robust data architectures that support analytics, business intelligence, and strategic decision-making.
- Manage version control and CI/CD workflows using tools such as GitHub.
- Work with Manufacturing Data, including SAP ERP, SAP EWM, structured Engineering Data, Parts, and BOMs.
- Translate complex technical concept .
