
Senior Data Engineering Position
2 days ago
This is a senior-level data engineering position that requires 4-8 years of experience in designing, building, and optimizing scalable data pipelines on cloud platforms.
The ideal candidate will have strong programming skills in Python and/or Scala, hands-on experience with Apache Spark for big data processing, and proficiency with cloud services such as S3, Glue, Redshift, EMR, and Lambda.
- Key Responsibilities:
- Develop and implement data ingestion, transformation, and integration solutions using Spark, Glue, and SQL.
- Manage and optimize cloud storage and compute environments to ensure high performance and scalability.
- Maintain robust, automated deployments using Terraform and Jenkins.
- Nice to Have:
- Prior experience in the Healthcare domain.
- Familiarity with modern data lake and data mesh architectures.
We offer a dynamic work environment, opportunities for growth and development, and the chance to work on cutting-edge data engineering projects in healthcare analytics.
The successful candidate will be responsible for leading the design and implementation of data engineering solutions, collaborating with cross-functional teams, and driving innovation in data processing and analytics.
To succeed in this role, you will need excellent technical skills, strong communication and leadership abilities, and a passion for staying up-to-date with emerging trends and technologies in data engineering.
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