Your way to impact
Thrive in a fast-paced environment? We're seeking a highly motivated Data Engineer to build success for our customers.
Leverage your expertise in data to craft customized products, transforming massive datasets (structured & unstructured) into actionable insights.
Partner with the business to empower user groups with self-service BI capabilities, fostering data-driven decision-making.
Your day-to-day
Own the entire BI lifecycle: From ETL and data quality to visualization, documentation, and stellar support, you'll ensure seamless BI operations.
Uncover hidden gems: Dive deep into key business trends, translating complex data into clear, actionable insights for presentations and reports.
Become a dashboard whiz: Rapidly prototype and build stunning BI dashboards using agile development practices.
Data visualization Champ: Craft compelling visuals that unlock powerful business insights.
Data Detective: Identify and proactively address data inconsistencies, ensuring top-notch data quality (and recommending improvements!).
Data source whisperer: Gain expertise in diverse data sources, strategically designing robust and scalable data flows.
Bridge the gap: Translate business questions into actionable analyses, transforming data insights into actionable business knowledge.
Efficiency champion: Continuously improve the team's workflow with innovative technology and automation.
Communication maestro: Collaborate effectively with stakeholders across teams and locations to define and deliver key business metrics and insights on time, every time.
Subject matter mastery: Be a persistent learner, willing to dive deep and become an expert in specific data domains.
Process architect: Establish a reliable project management framework and development processes to deliver high-quality solutions in rapid iterations for global business partners.
What do you need to bring
Bachelor's degree in a quantitative field: Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or a related discipline. (Master's degree a plus)
5 years leading BI initiatives: Drive end-to-end solutions, analyzing large datasets and transforming them into actionable insights.
ETL Expertise: 4 years managing data extraction, transformation, and loading from various sources using advanced SQL and Jupyter Notebooks.
Data Visualization Master: Minimum 3 years of experience creating compelling dashboards and visualizations with tools like Looker and Tableau.
Python Powerhouse: 3+ years of experience wielding Python scripting for data manipulation and analysis.
Fintech Advantage: Experience in the Fintech/Banking/Credit/Payment industry is a strong plus.
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