Aetna Resources LLC., a CVS Health company, is hiring for the following role in Wellesley, MA: Sr. Data Manager to develop, build, and manage large scale database structures and pipelines.
Duties include: design and develop large scale data structures and pipelines to organize, collect, and standardize data in order to generate insights and address reporting needs; explore, examine, and integrate large volumes of data, write ETL processes, design database systems, and develop tools for real-time and offline analytic processing; collaborate with client and data science teams to build data marts and models, transform data, and integrate algorithms and models into automated processes; apply in-depth knowledge of Hadoop architectures, HDFS commands and designing and optimizing queries to build scalable, modular, and efficient data pipelines; integrate data from a variety of sources, assuring adherence to data quality and accessibility standards; utilize programming languages including Python and Java to build robust data pipelines and dynamic systems; experiment with available tools and advise on new tools in order to determine optimal solutions given the requirements dictated by the model/use case; meet project timelines and stakeholder expectations; liaise between business units, technology, and support teams; perform research on data anomalies, identify root causes, and determined appropriate solutions; assist with the entire software development cycle (SDLC) including analysis, design, development and testing of software applications; analyze current information technology environments to identify and assess critical capabilities and recommend solutions; act as a subject matter expert in the healthcare domain; and solve complex problems and provide recommendations for effectively managing challenges. Telecommuting available.
Masters degree (or foreign equivalent) in Computer Science, Information Technology, Business Analytics or a related field and two (2) years of experience with each of the following: data engineering; developing large-scale data structures and pipelines to organize, collect, and standardize data to generate insights for reporting; writing extract/transform/load (ETL) processes to transform data and integrate algorithms into automated database processes; building robust data pipelines and dynamic systems to analyze and manipulate data sets from disparate data sources; complex data systems; multiple Proof of Concept projects to pick latest market tools and technologies; and Python, SQL, Spark, and Unix shell scripts.
See required qualifications
See required qualifications
At Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer.
We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.