Aetna Data Engineer in Hartford, Connecticut
Req ID: 51253BR
Participates in the design, build and management of large scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows.
Fundamental Components:· Assists in the development of large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. · Applies understanding of key business drivers to accomplish own work. · Uses expertise, judgment and precedents to contribute to the resolution of moderately complex problems. · Leads portions of initiatives of limited scope, with guidance and direction. · Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. · Collaborates with client team to transform data and integrate algorithms and models into automated processes. · Uses knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines. · Uses programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems. · Builds data marts and data models to support clients and other internal customers. · Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.BACKGROUND/EXPERIENCE desired:· 3 or more years of progressively complex related experience. · Has strong knowledge of large scale search applications and building high volume data pipelines.
Experience building data transformation and processing solutions. · Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment. · Knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar. · Experience with bash shell scripts, UNIX utilities & UNIX Commands. · Ability to understand complex systems and solve challenging analytical problems. · Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources. · Strong collaboration and communication skills within and across teams. · Strong problem solving skills and critical thinking ability.EDUCATION
The highest level of education desired for candidates in this position is a Bachelor's degree or equivalent experience.
ADDITIONAL JOB INFORMATION
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Job Function: Data & Analytics