Lead Data Engineer (Python/Java/AWS)

FICO is a leading global analytics software company, helping businesses in 100+ countries make better decisions. The Lead Data Engineer will collaborate with data scientists and stakeholders to deliver data-driven solutions, analyze large datasets, and support the analytic software development lifecycle.

Responsibilities:

• 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)
• Proven programming skills in Python, 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
• 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
• Prior/current experience working with U.S. Credit Bureau data
• Python programming skills (Highly Preferred)
• AWS Certifications are a plus