Data Engineering (Big Data Analytics) - CVS Health
Location: Irving, TX
Job Type: Engineering
IQ Workforce is a leading recruiting firm for the global analytics & data science community.
Our client partner, CVS Health, is hiring Data Engineering talent in their Enterprise Analytics organization. As CVS Health now makes up a PBM (Caremark) and one of the nation’s largest health insurers (Aetna), you will have the opportunity to create programs that use an unprecedented level of health data to improve health outcomes. If you are passionate about making a difference in the work you do, being recognized for your talent and expertise in solving complex and challenging analytical/data problems while contributing to the success of key strategic initiatives, consider growing your career with a Fortune 10 healthcare leader!
The Data Engineering team collaborates with product leaders and owners, IT architecture & development teams, using the latest in data and cloud technologies to help lead and deliver on new products.
Some of the work you do may include:
Making analytics faster, more insightful, and more efficient
Building and maintaining a next-generation Analytics Data Layer for new products
Designing highly scalable and extensible data platforms including but not limited to RDBMS / Big Data / Cloud which enables industrializing collection, storage, modeling, and analysis of massive data sets from heterogeneous channels
Developing prototypes and proof of concepts for the selected solutions, and implement complex data engineering projects
Some of the things we look for in potential candidates:
Hands-on experience with “big data” platforms including Hadoop (preferably Azure or AWS) and Spark as well as experience with traditional RDBMS (eg, Teradata, Oracle)
Proficiency in “big data” technologies including Spark, Airflow, Kafka, Hbase, Pig, NoSQL databases, etc
Proficiency in the following programming languages: PySpark, Python, shell scripting, SQL (preferably Teradata and PL/SQL syntax) and Hive, Pig, Java, or Scala
Ability to design and build a framework to orchestrate data pipelines
Proficiency with tools to automate CI/CD pipelines (eg, Jenkins, GIT, Control-M)