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Mid-level, metro role with broad data skillset and 5+ years attracts high candidate competition.
Core data engineering skills are transferable, but financial instruments knowledge increases domain specificity.
Multiple explicit years and mandatory tech skills (SQL, Python, Snowflake, Azure) create high shortlisting strictness.
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Manage core operational activities and daily execution within the analytics team ensuring high-quality standards.
Identify and implement process improvements and new technical solutions within cloud and data analytics environments.
Participate in projects and cloud-based development initiatives that enhance team and departmental capabilities.
5+ years total experience in data and cloud-related roles with strong focus on analytics engineering.
Proficient in Snowflake, Python (including pandas and pyodbc), SQL (including stored procedures and full ETL processes).
At least 2+ years of Microsoft Azure experience and 1+ year Databricks experience.
Graduate degree required; preference for IT or Finance related disciplines.
Experienced working independently in self-driven environments with strong problem-solving and troubleshooting capability.
Comfortable managing production issues including debugging, root cause analysis, and incident management in cloud and data platforms.
Demonstrates familiarity with financial instruments and supports collaborative efforts across stakeholders and technical teams.