2 days ago
AWS
Azure
Cloud
Docker
ETL
Google Cloud Platform
Hadoop
Kafka
Kubernetes
Microservices
NoSQL
Python
Spark
SQL
Unix
Go
• The Sr MDM Data Engineer is responsible for building high-quality data pipelines and data repositories that support downstream analytics, reporting and application needs. • Will work with business, IT and analytics peers to understand requirements for the use of the data and design optimized solutions. • Leverage best practices to design data products that are timely, reliable and scalable. • Work with limited supervision, coach & review the work of colleagues with less experience and solve complex problems by taking new perspective on existing solutions.
• Minimum Qualifications: Bachelor’s degree or equivalent work experience • 3+ years recent (conceptual, logical, and physical) modeling • 3+ years building and optimizing big-data pipelines, architectures and data sets. • 3+ years Python and related big-data engineering technologies such as Spark, Hadoop, Kafka, etc. • 3+ years utilizing cloud data products in platforms such as AWS, Azure, Databricks, GCP • Preferred Qualifications: Experience with both relational SQL and NoSQL databases • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. • Experience with containerization and microservices (e.g., Docker, Kubernetes) • Familiarity with Linux and Unix
Apply Now2 days ago
501 - 1000
Design and maintain data models and pipelines for better healthcare solutions.
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