About this role
The team is seeking a skilled Data Engineer with expertise in Python to design and develop robust data pipelines and ETL processes. In this role, you will be responsible for collecting, transforming, and loading data from various sources into our data warehouse.
Key Responsibilities:
- Design and implement data integration solutions to meet business requirements.
- Collaborate with cross-functional teams to identify data requirements and translate them into technical specifications and data models.
- Optimize and tune database systems, queries, and ETL processes for performance and scalability.
- Ensure efficient data retrieval and storage by implementing best practices.
- Monitor data quality and validate data integrity throughout the data lifecycle.
Required Skills & Qualifications:
- Proficiency in Python and experience with data manipulation libraries.
- Strong knowledge of ETL processes and data pipeline architecture.
- Experience with database systems such as SQL, NoSQL, or data warehousing solutions.
- Familiarity with data modeling and data architecture principles.
- Ability to work collaboratively in a team-oriented environment.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- Opportunity to work on innovative projects with cutting-edge technologies.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
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.