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Well-known bank, metro location, and generalist data skillset increase competition but role's specialization limits applicants.
Data engineering skills are transferable but finance domain knowledge raises role specificity.
Explicit 7+ years, strong data warehousing and Snowflake/Python requirements enforce strict screening.
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Design, develop, test, and deploy software solutions primarily for Brokerage within an Agile development team.
Provide technical leadership and consulting to business units and coordinate implementation of new systems and processes.
Participate in platform transformation including reengineering and improving existing applications with strategic and operational responsibilities.
7+ years of experience with large data warehousing projects, including data marts, ETL, and BI solutions.
Strong skills in dimensional design, data engineering, RDBMS, complex SQL, and SQL optimization.
Proficiency in Python (including libraries like Scikit-learn, Pandas, NumPy) and experience with Snowflake and batch orchestration tools like Control-M.
Experience with cloud platforms (Azure, AWS, or GCP), financial markets data, and Agile development methodologies.
Experienced in end-to-end data warehousing and business intelligence solutions aligned with financial services, specifically Brokerage domain.
Capable of balancing high-level strategic execution with hands-on software development and technical leadership.
Familiar with modern data architectures (e.g., data vault 2.0, data mesh), machine learning basics, and data visualization tools (Power BI or Tableau).