Highly Experienced Cloud Data Engineer
1 week ago
Key to our success is a highly skilled and experienced data engineering professional who can design, build and optimize scalable data pipelines on cloud environments. The ideal candidate will possess hands-on experience with Apache Spark for big data processing on cloud platforms.
Key Responsibilities:
- Data Ingestion, Transformation and Integration: Implement solutions using Spark, Glue and SQL to manage and optimize cloud storage and compute environments.
- Pipeline Design and Optimization: Design, build and optimize scalable data pipelines on AWS to ensure robust, automated deployments.
- Cloud Management: Manage and optimize cloud storage and compute environments to meet business requirements.
- Team Collaboration: Collaborate with cross-functional teams to deliver high-quality data products that meet business needs.
Nice to Have:
- Prior experience in the Healthcare / Life Sciences domain to bring valuable insights and expertise.
- Familiarity with modern data lake and data mesh architectures to stay ahead of the curve.
About Us:
- We work on cutting-edge data engineering projects in healthcare analytics to drive business growth and innovation.
- We offer a flexible work environment allowing you to balance work and personal life.
- We provide opportunities for career growth in a fast-paced, innovation-driven environment where creativity and innovation thrive.
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