
Data Engineering Innovator
1 day ago
Data Engineering Innovator
Job Description:
We are seeking a highly skilled Data Engineering Innovator to design, build, and optimize scalable data pipelines on AWS.
The ideal candidate will have hands-on experience with Apache Spark for big data processing, proficiency with AWS services such as S3, Glue, Redshift, EMR, Lambda, and strong SQL skills for data transformation and analytics.
Key Responsibilities:
- Design and implement data ingestion, transformation, and integration solutions using Spark, Glue, and SQL.
- Manage and optimize cloud storage and compute environments.
- Ensure robust, automated deployments with Terraform and Jenkins.
- Collaborate with cross-functional teams to deliver high-quality data products.
Nice to Have:
- Prior experience in the Healthcare/Life Sciences domain.
- Familiarity with modern data lake and data mesh architectures.
About the Opportunity:
This role offers a unique opportunity to work on cutting-edge data engineering projects in healthcare analytics, with a hybrid work model for flexibility and collaboration. The ideal candidate will have a passion for innovation and growth in a fast-paced environment.
What We Offer:
A chance to work on exciting data engineering projects, collaborate with a talented team, and contribute to the development of innovative data solutions.
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