About this role
The team is seeking an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate will have hands-on experience in designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications. Experience with Google Cloud Platform (GCP) is a plus.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
- Collaborate with data scientists and analysts to understand data requirements and ensure data quality.
- Optimize data storage and retrieval processes for performance and scalability.
- Implement CI/CD practices for data engineering workflows.
- Monitor and troubleshoot data pipeline performance and reliability.
- Document data processes and workflows for future reference and compliance.
Required Skills & Qualifications:
- Proficiency in Python and SQL, with a strong understanding of ETL processes.
- Experience with cloud platforms, preferably Google Cloud Platform (GCP).
- Familiarity with DevOps practices and tools.
- Strong analytical skills with the ability to work with large datasets.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- Opportunity to work on cutting-edge technologies in a dynamic environment.
- Professional development and career growth opportunities.
- Collaborative and innovative work culture.
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.