FICO

FICO is an analytics company helping businesses make better decisions that drive higher levels of growth and success.

Lead Data Engineer, Python, Java, AWS

Backend EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000Since 1956H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

43 days ago

Salary

$120K - $189K / year

Bachelor DegreeExperience acceptedEnglishAWSGroovyHadoopJavaLinuxMy SQLOraclePerlPythonSDLCShell ScriptingSpark

Job Description

• Collaborate with data scientists to ensure data is accurately extracted, transformed, and loaded for analysis and decision-making • Effectively collaborate and partner with various Scores stakeholders to deliver data driven solutions that support strategic Scores initiatives • Ability to analyze, interpret, and manipulate large data sets to support analytic research and model development efforts • Ability to deliver high level results supporting business-critical projects within expected timelines • Use internal technologies in the development, maintenance and improvement of tools and processes to help solve challenging business problems in predictive analytics • Support our existing code base and the overall analytic SDLC • Demonstrate self-initiative and innovation by writing new code to continuously evaluate and improve existing code base • Apply advanced data transformation techniques to optimize the processing of large datasets • Work closely with the data scientists and other data engineers in constructing the best methodologies in generating new tools, code and datasets based on project requirements

Job Requirements

  • BS degree in Computer Science, Engineering, Information Technology, Management Information Systems (or equivalent work experience)
  • Prior/current experience working with U.S. Credit Bureau data (Preferred)
  • Proven programming skills in Python (Highly Preferred), Java/Groovy, Perl and/or Shell scripting
  • Demonstrated expertise utilizing Linux (RedHat) and Windows operating systems
  • Expertise in AWS services- SageMaker, Jupyter Notebooks, S3, Athena, Python (AWS Certifications are a plus)
  • Proven expertise analyzing large datasets and applying data-cleaning techniques along with strong data wrangling skills and experience working with big data technologies
  • Strong team-player with great communication skills
  • High proficiency with VS Code and notebook interfaces such as Jupyter
  • Adept at translating business problems into executable code
  • Ability to use statistical software and data manipulation tools for purposes of data quality evaluation
  • Highly detailed and demonstrates the ability to execute a given process with meticulous precision
  • Proficient in auditing results with a critical level of accuracy and detail
  • Experience working with big data technology (Spark, Hadoop, etc.)
  • Familiarity with relational databases (Oracle, mySQL, etc)
  • Familiarity with Eclipse IDE
  • Familiar with version control tools like GitHub or Bitbucket.

Benefits

  • Highly competitive compensation
  • Benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so
  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie

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