Job description

Scope of Services: Replicate functioning code from one environment to another (on premise Mainframe/Bluebird to Google Cloud); Majority of the coding required will be in BigQuery/SQL, YAML, Python and Spark. Effort will involve using the data wrangling skills to understand patterns and data discovery to drive algorithmic development and enhancements.

• Create projects in GCP. Store coding scripts, log files, output files in GCP where they may be referenced (not necessarily run)
• Certify Data Management capabilities in the new system compared to legacy with same or improved results.
• Review legacy processes and code created on-premise, compare to new Google
• Cloud Platform (GCP) version, ensure it is stable, verify results, and recommend best practices
• Create new processes for new product development • Develop strategies, standards and best practices in the areas of data wrangling, data visualization and data integration

What is Needed:

• 5-7 years of data management and analysis experience in the credit risk, telecommunications, financial services, marketing, fraud
• 5+ years of experience with data querying/handling tools (Spark, Python,, SQL, DataLever/RedPoint DM, Spotfire, Tableau or other industry-standard tools)
• 2+ years of experience with graph databases
• Experience with analyzing large (multi-TB to PB), complex data sets for consumer or commercial data
• Strong knowledge of credit bureau data
• Experience developing and deploying Data Matching and Entity Resolution algorithms and/or have previously worked on record linkage capabilities.
• Experience with Google cloud

Job Type: Full-time

Salary: $84,506.16 - $190,681.38 per year

Schedule:

• Monday to Friday

Experience:

• Informatica: 1 year (Preferred)
• SQL: 1 year (Preferred)
• Data warehouse: 1 year (Preferred)

Work Location: Remote

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