Lead Data Engineer, Python, Java, AWS

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 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 Apply tot his job