About this role
The team is seeking an experienced Data Engineer with strong expertise in Python and Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will collaborate closely with data analysts, data scientists, and business stakeholders to build reliable data platforms that enable data-driven decision-making.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and GCP services.
- Develop high-quality data models and architectures to support analytics and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Implement data integration processes and ensure data quality and integrity.
- Monitor and optimize data pipelines for performance and reliability.
Required Skills & Qualifications:
- Strong proficiency in Python and experience with GCP services such as BigQuery, Dataflow, and Cloud Storage.
- Solid understanding of data warehousing concepts and ETL/ELT processes.
- Experience with SQL and NoSQL databases.
- Familiarity with data visualization tools and techniques.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on innovative projects in a collaborative environment.
- Professional development and career growth opportunities.
- A dynamic and inclusive workplace 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.