
High-Level Data Architect
1 day ago
We are seeking an experienced Senior Data Engineer to lead the design and implementation of scalable data pipelines on AWS.
- Tech Requirements:
- Proficiency in programming languages such as Python and/or Scala is required.
- A strong understanding of Apache Spark for big data processing on AWS cloud is essential.
- Expertise in SQL for data transformation and analytics is a must.
- Familiarity with Infrastructure as Code (IaC) using Terraform is preferred.
- Experience with setting up and managing CI/CD pipelines with Jenkins is also desired.
Responsibilities:
- Design, implement, and maintain scalable data ingestion, transformation, and integration solutions using Spark, Glue, and SQL.
- Optimize cloud storage and compute environments for efficient data management.
- Develop automated deployments with Terraform and Jenkins for seamless delivery.
- Collaborate with cross-functional teams to deliver high-quality data products that meet business needs.
Benefits:
- Opportunity to work on cutting-edge data engineering projects in healthcare analytics.
- Flexible hybrid work model that promotes collaboration and innovation.
- Chance to grow and develop skills in a fast-paced environment.
About this role:
This is a great opportunity for a motivated Senior Data Engineer to join our team and contribute to the development of innovative data solutions. If you have experience in designing and implementing scalable data pipelines, we encourage you to apply.
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