Senior Data Engineer

Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Senior Data Engineer will be responsible for maintaining, improving, automating, and evaluating data pipelines to ensure data efficiency, reliability, and quality, as well as managing data governance and integrity.

Responsibilities:

• Maintain, improve, automate, and evaluate data pipelines
• Improve data efficiency, reliability and quality
• Build high performance
• Ensure data integrity
• Create and manage data stores at scale
• Ensure data governance - security, quality, access and compliance

Requirements:

• 5+ years of experience designing, coding and supporting distributed data intensive systems at scale
• 5+ years of experience with relational database delivery (ETL, ELT)
• 5+ years of experience working within the Software Development Life Cycle (SDLC)
• 3+ years of experience with cloud-based data platforms (Google, Azure, or Amazon)
• 3+ years of experience in Agile Delivery
• 3+ years of experience working with relational databases (Oracle, SQL Server, MYSQL, etc.)
• Undergraduate degree
• Experience in DevOps Automation tools (Oozie, Python, etc.)
• Experience in delivering Data Platforms
• Hands-on experience in full automated testing framework (unit & integration), Cucumber, Spock, Go unit test, Junit
• Hands-on experience of big data and streaming frameworks - Kafka, Hadoop, Hive, Spark, HDFS
• Hands-on experience on using PAAS like - Kubernetes, OpenShift
• Hands-on experience on working on CICD platform and monitoring - namely GitHub, Jenkins, Grafana, Prometheus
• Excellent communication skills with ability to describe data / capability stories and explain value to customers