
Chief Data Solutions Architect
2 weeks ago
Design and build scalable data pipelines on the cloud. This position involves working with Python, Scala, Apache Spark for big data processing on AWS.
- Implement data ingestion, transformation, and integration solutions using Spark, Glue, and SQL.
- Manage and optimize cloud storage and compute environments.
Experience in Terraform and Jenkins is required for robust, automated deployments.
Cross-functional collaboration to deliver high-quality data products is essential.
Required Skills and QualificationsTechnical expertise:
- Python
- Scala
- Apache Spark
Skills:
- Data ingestion
- Transformation
- Integration
Tools:
- Terraform
- Jenkins
- Spark
- Glue
- SQL
Cloud platforms:
- AWS
Enjoy a hybrid work model for flexibility and collaboration.
Grow in a fast-paced, innovation-driven environment.
OthersExperience in Infrastructure as Code (IaC) and CI/CD pipeline management is highly desired.
Prior experience in the Healthcare/Life Sciences domain and familiarity with modern data lake and data mesh architectures are nice to have.
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