
Principal Data Solutions Architect
1 week ago
Job Overview:
We are seeking a Senior Data Engineer to join our team and play a key role in designing, building, and optimizing scalable data pipelines on AWS.
Key Responsibilities:
- Design, build, and optimize cloud-based data solutions using Apache Spark, Glue, and SQL
- Implement robust data ingestion, transformation, and integration processes
- Manage and optimize cloud storage and compute environments for high-performance data processing
- Collaborate with cross-functional teams to deliver high-quality data products and solutions
Requirements:
- 4-8 years of experience in data engineering with strong programming skills in Python and/or Scala
- Hands-on experience with Apache Spark for big data processing on AWS and proficiency in AWS services such as S3, Glue, Redshift, EMR, and Lambda
- Strong understanding of data pipeline design, architecture, and implementation
Nice to Have:
- Prior experience in the Healthcare/Life Sciences domain
- Familiarity with modern data lake and data mesh architectures
What We Offer:
- Opportunity to work on cutting-edge data engineering projects in healthcare analytics
- A hybrid work model for flexibility and collaboration
- Chance to grow in a fast-paced, innovation-driven environment
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