About this role
The team is seeking a skilled Data Engineer to join their dynamic team. In this role, you will design, develop, and optimize data pipelines and ETL processes using modern data engineering tools and technologies. Your expertise in operations, supply chain, and manufacturing will be crucial in delivering tailored data solutions that meet business needs.
Key Responsibilities:
- Design and implement robust data pipelines and ETL processes.
- Apply domain expertise to create customized data solutions for operations and supply chain.
- Process and analyze large-scale operational datasets using frameworks like Apache Spark.
- Implement data transformations and business logic to support analytics and decision-making.
- Manage structured and semi-structured data on cloud platforms such as Snowflake.
Required Skills & Qualifications:
- Proficiency in data engineering tools and technologies.
- Strong experience with Apache Spark and ETL processes.
- Familiarity with cloud platforms, particularly Snowflake.
- Solid understanding of data modeling and database design.
- Excellent analytical and problem-solving skills.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- An opportunity to work in a collaborative and innovative environment.
- Professional development and growth opportunities.
- A chance to make a significant impact on business operations through data-driven solutions.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.