About this role
The team is seeking an experienced and highly skilled Data Engineer with 5-7 years of experience in designing, developing, and maintaining scalable, high-performance data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, PySpark, ETL/ELT development, and Google Cloud Platform (GCP) services.
Key Responsibilities:
- Design and build enterprise-grade batch and real-time data processing solutions.
- Develop and maintain ETL/ELT pipelines to ensure data integrity and availability.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs.
- Optimize data storage and retrieval processes for performance and cost efficiency.
- Implement data quality checks and monitoring to ensure high data accuracy.
Required Skills & Qualifications:
- Proficiency in Python and SQL.
- Experience with PySpark and ETL/ELT development.
- Hands-on experience with Google Cloud Platform (GCP) services.
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team-oriented environment.
Experience:
- 5-7 years in data engineering or related field.
What we offer:
- Opportunity to work on cutting-edge data solutions in a dynamic environment.
- Collaborative team culture that values innovation and professional growth.
- Flexible work arrangements and a focus on work-life balance.
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.