
Data Engineering Professional
23 hours ago
Job Title: Data Engineering Professional
About the RoleWe are seeking a skilled Data Engineer to design, build and maintain production-level data pipelines that handle large volumes of structured and unstructured data. The ideal candidate will have hands-on experience with AWS services and big data best practices.
The Role Involves:
- Designing and implementing data pipelines using AWS services (S3, EC2, RDS, DynamoDB, Athena, Redshift, etc.)
- Developing and maintaining ETL/ELT processes for reliable, scalable and high-availability data workflows
- Collaborating with AI/ML teams to support model training, retrieval-augmented generation (RAG) and analytics pipelines
- Maintaining and optimizing data workflows for performance and cost efficiency
To be successful in this role, you will need:
- 1–2 years of professional experience as a Data Engineer or related role
- Proven experience building and running production pipelines at terabyte scale
- Proficiency in Python and SQL for data engineering
- Strong knowledge of AWS cloud services and big data best practices
- Bonus: Experience with Apache Airflow or similar orchestration tools
As a leading innovator in AI technology, we offer a dynamic and challenging environment where you can work on real-world data problems from day one. You'll have the opportunity to collaborate with a world-class team across AI, data and product.
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