Sr. Data Engineer - Hartford, United States - Aetna Resources LLC

Description

Sr. Data Engineer

Aetna Resources LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Sr.

Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Duties include:

develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case.

Up to 10% domestic travel required. Multiple openings.

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Computer and Information Science, or a related field and two (2) years of experience in the job offered or related occupation.

Requires six (6) months of experience in each of the following: Java, Python, or R; XML, JSON, HTML, CSS, or JavaScript; Spark, PySpark, or Scala; Hadoop and Hive; and SAS or SQL programming languages.

Apply at OR by email: Must reference job title, location, and Req ID when applying


Requisition ID:
R0234985