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Principal Data Engineer
at Aetna
Hartford, CT

Principal Data Engineer
at Aetna
Hartford, CT

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Description

Description: Provides strategic leadership for the design, development, testing and delivery of large scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows. Acts as the data engineering team lead for highly complex projects involving Fundamental Components: Leads development and execution of highly complex and large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs. Writes highly complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. Leverages broad knowledge of market-leading edge technologies and specialized expertise in programming skills such as Python or Java or any of the major languages to creatively solve highly complex business problems. Anticipates and solves highly complex problems with detailed knowledge of multiple programming languages and data infrastructure. Designs complex, production systems and creates custom packages using multiple programming languages to solve challenging analytical problems. Acts as thought leader to provide expert technical consultation to senior IT management strategic planning groups. Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions. Designs and modifies components of new and existing IT systems to promote integrated corporate business systems. Motivates team members and probes into technical details, and mentors others to do the same. Collaborates cross-functionally to build and convert algorithms and models into production systems to support enterprise initiatives. Develop frameworks, standards & reference material for architecture and associated products. Provides guidance for enterprise-wide technology roadmap. Experiments with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use case. Applies knowledge of systems and products to consult and advise on additional efforts across organization/enterprise. Background Experience: Strong problem solving skills and critical thinking ability.
Superior collaboration and communication skills within and across teams.
Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form.
Proven ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources and build innovative solutions.
Expert experience with bash shell scripts, UNIX utilities & UNIX Commands.
Expertise in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.
Expert knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment.
Expert experience implementing complex, enterprise-wide data transformation and processing solutions.
10 or more years of progressively complex related experience.
Has in-depth 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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