
Chief Data Pipeline Architect
4 days ago
We are seeking a highly skilled Senior Data Engineer to join our team. This role involves designing, building, and optimizing scalable data pipelines on AWS.
The ideal candidate will have strong programming skills in Python and/or Scala, as well as hands-on experience with Apache Spark for big data processing on AWS cloud. Proficiency with AWS services such as S3, Glue, Redshift, EMR, Lambda is also required.
- Main Responsibilities:
- Design, build, and optimize scalable data pipelines on AWS.
- 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.
Required Skills and Qualifications:
- Technical Requirements:
- Strong programming skills in Python and/or Scala.
- Hands-on experience with Apache Spark for big data processing on AWS cloud.
- Proficiency with AWS services such as S3, Glue, Redshift, EMR, Lambda.
- Strong SQL skills for data transformation and analytics.
- Experience in Infrastructure as Code (IaC) using Terraform.
- Expertise in setting up and managing CI/CD pipelines with Jenkins.
- Nice to Have:
- Prior experience in the Healthcare / Life Sciences domain.
- Familiarity with modern data lake and data mesh architectures.
Why Choose This Role?
- This is an excellent opportunity to work on cutting-edge data engineering projects in healthcare analytics.
- You will enjoy a hybrid work model that offers flexibility and collaboration.
- We offer opportunities for growth in a fast-paced, innovation-driven environment.
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