
Expert Cloud Data Architect
1 week ago
We are seeking an experienced Senior Data Engineer to join our organization. The ideal candidate will have a strong background in data engineering and experience working with big data processing on cloud platforms.
The successful candidate will 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, and collaborate with cross-functional teams to deliver high-quality data products.
This is a great opportunity for individuals who are passionate about working with data and want to be part of a fast-paced, innovation-driven environment.
The role offers flexibility through our hybrid work model, allowing employees to balance work and personal life effectively.
We are looking for candidates with strong programming skills in Python and/or Scala, hands-on experience with Apache Spark, proficiency with AWS services such as S3, Glue, Redshift, EMR, Lambda, and strong SQL skills for data transformation and analytics.
- Key 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.
- Nice to Have:
- Prior experience in the Healthcare / Life Sciences domain.
- Familiarity with modern data lake and data mesh architectures.
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