
Chief Data Pipeline Architect
15 hours ago
We are seeking an experienced Cloud Data Engineer to design, build and maintain scalable data pipelines in the cloud.
- Develop data pipelines using AWS services such as EMR, Glue, and PySpark to efficiently process large datasets.
- Collaborate with cross-functional teams to ensure smooth data flow and processing.
- Work closely with data analysts and scientists to support data-driven initiatives and drive business outcomes through data insights.
The ideal candidate will have hands-on experience with AWS services, strong proficiency in PySpark and Python, and knowledge of workflow orchestration tools like Airflow. Familiarity with CI/CD and infrastructure as code is a plus.
Key Responsibilities:Design and DevelopmentDesign and develop data pipelines using AWS services such as EMR, Glue, and PySpark.
Collaboration and SupportWork closely with data analysts, scientists, and engineering teams to support data-driven initiatives and drive business outcomes.
Maintenance and ImprovementMaintain and improve existing data ETL solutions to ensure data quality and accuracy.
The ideal candidate will be able to work independently and collaboratively to drive business outcomes through data insights.
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