Data Engineer for Large-Scale Data Pipelines
1 day ago
We are seeking a skilled Data Engineer to join our Development Team at N-iX. As a key member of our team, you will design, develop, and optimize data pipelines within an AWS ecosystem.
About the Role- Design, develop, and implement data pipelines using PySpark within AWS environments.
- Leverage AWS services such as S3, Glue, EMR, Lambda, and Redshift for building scalable data solutions.
- Optimize PySpark workflows for performance, reliability, and cost-efficiency.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data quality and integrity through robust testing and monitoring processes.
- Implement data governance, security, and compliance best practices in all development activities.
"As a Data Engineer on our Development Team, you will be instrumental in processing large-scale datasets, ensuring the reliability and performance of our data systems," said [Name]. "You will collaborate with cross-functional teams, including data scientists and analysts, to deliver high-impact solutions that support business objectives."
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