Feb 16, 2020

Senior Data Engineer

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

Job Description


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


Fundamental Components:
  • Enhance, support, and maintain architectural integrity of designated Financial Data Repository by implementing initiatives and delivering architectural solutions using established best practices.
  • Ensure the incorporation of project requirements into specific system, application or process designs solutions.
  • Deliver technology strategy and support of business systems delivery.
  • Collect requirements for approved projects and aggregate resource demand by supplier and by role.
  • Act as a technical resource to senior client and information technology management and staff.
  • Provide technical consultation to IT management strategic planning groups.
  • Assist with development of solutions with business area implications.
  • Anticipate and proactively respond to future customer, industry and information technology trends.
  • Develop and implement technology strategies that influence business areas with senior management review.
  • Develop business models to guide development of the architecture.
  • Oversee the standard technical products life cycle according to APLC.
  • Produce output for highly visible IT products, services and future business development.
  • Responsible for analytics engineering initiatives, including developing and deploying Big Data products.
  • Responsible for developing complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
  • Use programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems.
  • Write complex ETL (Extract / Transform / Load) processes, design database systems and develop tools for real-time and offline analytic processing.
  • Develop frameworks, standards and reference material for architecture and associated products.
  • Collaborate with data science team to transform data and integrate algorithms and models into highly available, production systems.
  • Use knowledge on Hadoop architecture, HDFS commands and experience designing and optimizing queries to build scalable, modular, and efficient data pipelines.
  • Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
  • Experiment with available tools and advise on new tools in order to determine optimal solution given the requirements dictated by the model/use case.
Background Experience: Additional Job Information: Bachelor's degree in Computer Science, Computer Engineering or Information Technology 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. 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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