Senior SAS Data Engineer


Senior SAS Data Engineer
Full Time

To apply:


Senior position.

Additional details:

Our Data team is made up of problem solvers hungry to perfect new products and systems. Our data operations activities support Anti-Money Laundering (AML) and Fraud fighting activities of our organization and require highest standards of data quality and system stability of the data products that we deliver.

You are passionate about data, have an analytical mindset, and feel comfortable in the rapidly changing nature of a “startup” environment. The team cares about results, not activity, and we have fun doing it. You like challenges, enjoy solving analytical problems, and are a great team player.

You Will:

Design and develop solutions to solve complex analytical problems using SAS and other software.

Build and evolve data pipelines to load data into our SAS AML solutions data marts.

Take full ownership of complex and critical data ingestion processes.

Translate business requirements into actionable data mapping documents.

Extract data from multiple data sources, cleanse and prepare the data loads based on the requirements.

Optimize existing and new pipelines to guarantee system performance, data integrity and standards.

Develop ad hoc and routine reports across multiple business verticals.

Support and address business user questions and request regarding the data.

Document the processes and the developed artifacts.

You Have:

  • 4+ years of experience in Advanced SAS Programming including Base, Macro and SQL
  • 3+ years of experience in designing data pipelines with SAS Data Integration Studio
  • Solid knowledge and experience with data modeling philosophies with focus on Star schema data models
  • Experience working with MSSQL, PostgreSQL databases including complex queries and tuning
  • Financial industry experience
  • Bachelor’s degree in the quantitative field
  • Strong analytical, technical and programming skills
  • It’s a bonus if you have: experience with SAS Viya Platform, experience in AML domain and specifically with SAS Anti Money Laundering Solution, knowledge of HTML/JS/Python, experience with CI/CD approach


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