About this role
The team is seeking a skilled Data Engineer to join their dynamic team. The ideal candidate will play a crucial role in designing, building, and maintaining scalable data pipelines that support their innovative shipping software solutions. You will work closely with data scientists and analysts to ensure data is accessible and reliable for decision-making.
Key Responsibilities:
- Develop and maintain robust ETL processes to extract, transform, and load data from various sources.
- Design and implement data models and architecture to support analytics and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and provide solutions.
- Optimize data storage and retrieval processes for performance and scalability.
- Monitor and troubleshoot data pipeline performance and reliability.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python or Java.
- Experience with data warehousing solutions like AWS Redshift, Google BigQuery, or similar.
- Familiarity with SQL and NoSQL databases.
- Knowledge of data pipeline tools such as Apache Airflow, Apache Kafka, or similar.
- Strong understanding of data modeling concepts and best practices.
Experience:
- 5-8 years of experience in data engineering or related roles, with a proven track record of building and maintaining data systems.
What we offer:
The team provides a collaborative work environment, opportunities for professional growth, and the chance to work on cutting-edge technology in the logistics and eCommerce sector.
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.