
Senior Data Pipeline Engineer
2 days ago
Data Engineering Role
We seek an accomplished data engineer to build and maintain large-scale data pipelines. The ideal candidate has a strong background in designing and implementing production-grade solutions, using AWS services and collaborating with AI/ML teams.
- Design and Develop Complex Data Pipelines
- Ensure ETL Process Reliability and Scalability
- Utilize AWS Services for Large-Scale Data Workflows
- Collaborate with Cross-Functional Teams
- Continuously Improve Data Workflow Efficiency
Key Responsibilities
- Develop and maintain large-scale data pipelines that handle structured and unstructured data.
- Own end-to-end ETL processes, ensuring high reliability and scalability.
- Work closely with cross-functional teams to design and implement efficient data workflows.
- Utilize AWS services (S3, EC2, RDS, DynamoDB, Athena, Redshift) to power large-scale data processing.
- Continuously monitor, optimize, and improve data workflows for performance and cost efficiency.
Requirements
- 1–2 years of professional experience as a data engineer or related role.
- Proven experience building and running large-scale data pipelines.
- Proficiency with Python and SQL for data engineering tasks.
- Strong knowledge of AWS cloud services and big data best practices.
- Bonus: Airflow, Spark, or other orchestration frameworks.
- A self-motivated team player who thrives in a fast-paced environment.
About the Opportunity
Our platform ingests, processes, and analyzes massive datasets to deliver real-time insights. We are seeking a talented data engineer to contribute to this mission.
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