Hybrid Quantitative Data Engineer

Posted 4 minutes ago

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About the role

  • Design, build and maintain complex ELT jobs that deliver business value
  • Translate high-level business requirements into technical specs
  • Ingest data from disparate sources into the various data stores
  • Cleanse and enrich data and apply adequate data quality controls
  • Provide insight and direction to guide the future development of MassMutual’s data platform
  • Develop re-usable tools to help streamline the delivery of new projects
  • Collaborate closely with other developers and provide mentorship
  • Evaluate and recommend tools, technologies, processes and reference architectures
  • Deploy reusable workflow & orchestration
  • Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements

Requirements

  • A Bachelor’s degree in Math, Engineering, Computer Science, or related field.
  • 5 + Years of experience in the IT and/or finance industry
  • 5+ years of understanding of ELT methodologies and tools via Python
  • 5+ years of experience with GIT and code review/deployment & scheduling
  • part of 5+ years of experience in relational databases (SQLServer/PostgreSQL) and NOSQL databases (Mongo)

Benefits

  • Regular meetings with the IM QRD and ETX teams
  • Focused one-on-one meetings with your manager
  • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ IA+, veteran and disability-focused Business Resource Groups
  • Access to learning content on Degreed and other informational platforms

Job title

Quantitative Data Engineer

Job type

Experience level

Mid levelSenior

Salary

$104,900 - $137,700 per year

Degree requirement

Bachelor's Degree

Location requirements

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