Sep 14, 2019

Senior Data Engineer

  • Professional Diversity Network
  • Hartford, CT, USA
Full-Time Other

Job Description

Aetna

Description: Leads and participates in the design, built and management of large scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows.

64161

Fundamental Components: Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. Collaborates with data science 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 strong 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 Data Science and other internal customers. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions. Experiments with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use case. Background Experience: Strong problem solving skills and critical thinking ability.Strong collaboration and communication skills within and across teams.5 or more years of progressively complex related experience.Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.Ability to understand complex systems and solve challenging analytical problems.Experience with bash shell scripts, UNIX utilities & UNIX Commands.Knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment.Experience building data transformation and processing solutions.Has strong knowledge of large scale search applications and building high volume data pipelines. Master's degree or PhD preferred.Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. Potential Telework Position: No Percent of Travel Required: 0 - 10% EEO Statement: Aetna is an Equal Opportunity, Affirmative Action Employer Benefit Eligibility: Benefit eligibility may vary by position. Click here to review the benefits associated with this position. Candidate Privacy Information: Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.

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