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Popular mid-level data role in a metro at a well-known fintech with broad skill requirements increases competition.
Core data engineering skills are transferable, though fintech/payments experience is beneficial.
Explicit 2–4 years plus mandatory SQL, Python, ETL, data modelling and BI skills make screening strict.
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Build and own scalable data foundations to support reporting, analytics, and decision-making for key business transformation initiatives.
Create and maintain automated data pipelines using SQL, Python, and ETL/ELT tools to ensure reliable and high-quality data availability.
Develop dashboards, standardized metrics, and governance frameworks to establish consistent and trusted data assets for recurring use.
2-4 years of experience in data engineering, data platforms, business intelligence, or related data functions.
Proficient in SQL, Python, ETL/ELT, data modelling, and data pipeline development.
Experience with cloud platforms, BI tools, data governance, and automated reporting frameworks.
Work Experience Required: 2-4 years (explicitly mentioned)
Comfortable working at the intersection of data engineering, governance, BI, and analytics enablement across diverse stakeholder teams.
Experience or interest in fintech, payments, billing, or financial services domain is a plus.
Capable of translating business requirements into scalable data structures and reusable analytics assets to drive enterprise-wide decision support.