About this role
The team is seeking a Senior Data Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and optimizing data pipelines and ETL processes using modern data engineering tools and technologies. You will leverage your domain expertise in operations, supply chain, and manufacturing to deliver tailored data solutions that meet business needs.
Key Responsibilities:
- Design, develop, and optimize data pipelines and ETL processes.
- Apply domain expertise in operations, supply chain, and manufacturing to deliver tailored data solutions.
- 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.
- Experience with Apache Spark and data processing frameworks.
- Strong understanding of ETL processes and data pipeline optimization.
- Familiarity with cloud platforms, particularly Snowflake.
- Excellent analytical and problem-solving skills.
Experience: 5-8 years in data engineering or a related field.
What we offer:
The team provides a collaborative work environment, opportunities for professional growth, and the chance to work on innovative projects that have a significant impact on the business.
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.