Join our team in Analytics & Behavior Change and help us pioneer bold new solutions that make it possible for our CVS Members to meet their health goals today and tomorrow.
We are seeking a highly skilled Lead Data Engineer to join our innovative, agile, and fast-paced team. The team provides platform modernization, data delivery, and operations support to dozens of Analytics teams aligned to Healthcare, Retail, and Pharmacy initiatives. The ideal candidate will have a minimum of 5 years experience delivering creative automation, methodology, and infrastructure solutions to on-prem and cloud-based big-data customers. The Lead Data Engineer will collaborate with business leaders, support teams, and junior engineers to modernize workflows, automate routine operations, and solve complex business requirements.
• Collaborate with Analytics Engineering and supporting infrastructure teams to support and implement Linux-based workflow automations controlling HDFS, Hive, BigQuery, FTP, and other Big Data ecosystem components to present datasets to our customers.
• Use troubleshooting skills to identify and correct root cause of workflow failures based on error log outputs and environmental conditions.
• Participate in monthly Oncall support to cover after-hours, weekend, and holiday support needs.
• ETL data to and from GCP, Hadoop, and AWS
• Use SQL to examine, filter, and aggregate data in Hive, BigQuery, MySQL, SQL Server, DB2, and Oracle.
• Use programming skills including Python and Spark to automate workflow inventory, workflow execution, and publish pipeline health status for broad visibility.
• Use your experience and curiosity to deliver innovative results that boost productivity and efficiency
• Accept, engage, and complete multiple, limited scope assignments on time and autonomously
· Bachelor’s degree or equivalent experience in a technical field · 5-8 years’ experience in the medical device space ·...
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