This is a full-time time position with a fast-growing, highly successful Fin-Tech company based in New York City.  This person will work to enhance and extend the functionality of the company‚Äôs next generation product.  This is a great opportunity to work with a strong team to build modern, performant, and scalable data warehouses and other data services.  We are looking for a positive, motivated and team oriented person with experience extensive data warehouse, ETL, and management experience.  

How you’ll contribute to our mission:

  • Responsible for technical ownership of our security master database.
  • Maintain, expand, and evolve an existing data warehouse.
  • Ownership of ETL processes for populating multiple systems from a variety of data sources.
  • Prioritize and implement changes within data models to support data visualization requirements.
  • Involved with data migration from legacy platforms into our current platform.

How you’ll know you’re the right fit:

Just like everyone else, we want to hire leaders, who are great team members, love to solve problems and can step up to any challenge.

  • Bachelor’s degree, preferably in CS or a related field, or equivalent work experience.
  • 5+ years of experience managing a team of technical resources.
  • Strong familiarity and knowledge of security master attributes and market data structures.
  • Expertise with MS SQL Server database, SSIS, and ETL processes.
  • Deep understanding of relational databases, including normalization and denormalization processes.
  • Experience architecting, implementing, and maintaining data warehouses, including data ingestion, processing, validation, aggregation, and delivery.
  • Experience working on an Agile Team (Scrum/Kanban).
  • Experience writing and supporting reusable and maintainable APIs to extract data from data warehouses.
  • Strong communication skills, both written and verbal.
  • Experience designing and implementing a cloud based data platform is a plus.
  • Familiarity with AWS Redshift, Informatica, Sisense, and/or Python a plus.

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