
Data Pipeline Specialist
2 days ago
Job Title: Data Pipeline Specialist
About the Role:
We are seeking a skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining production-level data pipelines that handle large volumes of structured and unstructured data.
Key Responsibilities:
- Design and implement end-to-end ETL/ELT processes to ensure reliability, scalability, and high availability.
- Work with AWS services (S3, EC2, RDS, DynamoDB, Athena, Redshift, etc.) to power large-scale data workflows.
- Collaborate closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- Continuously monitor, optimize, and improve data workflows for performance and cost efficiency.
- (Nice to have) Use Apache Airflow or similar orchestration tools to manage workflows.
Requirements:
- 1–2 years of professional experience as a Data Engineer (or related role).
- Proven experience 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.
- Bonus: Airflow, Spark, or other orchestration/processing frameworks.
- A self-starter who thrives in a fast-moving startup environment.
What We Offer:
- Work on real, production-scale data problems from day one.
- Be part of a fast-growing AI startup with global reach.
- Collaborate with a world-class team across AI, data, and product.
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