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Senior Data Pipeline Specialist
2 weeks ago
Data Engineering is a vital role that involves designing, building and maintaining production-level data pipelines to handle structured and unstructured data. We are seeking a skilled Data Engineer to join our team.
The ideal candidate has 1–2 years of experience in data engineering and possesses strong knowledge of AWS cloud services and big data best practices.
Responsibilities- We require an expert who can design, build and maintain scalable data pipelines using AWS services such as S3, EC2, RDS, DynamoDB, Athena, Redshift, etc.
- The selected candidate must have hands-on experience with ETL/ELT processes, ensuring reliability, scalability and high availability.
- Candidates should be able to collaborate closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- We need a professional who can continuously monitor, optimize and improve data workflows for performance and cost efficiency.
- 1–2 years of professional experience as a Data Engineer or related role.
- Proven experience in building and running production pipelines at terabyte scale.
- Proficiency with Python and SQL for data engineering.
- Strong knowledge of AWS cloud services and big data best practices.
As a key member of our team, you will play a crucial role in supporting large-scale data workflows using various technologies.