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Senior Data Analyst at Epic Frog. Advanced Python Engineering: Develop high-efficiency, Object-Oriented (OOP) analytical tools and frameworks for processing large-scale financial data.. Complex Data Modeling: Architect and manage sophisticated data structures, transforming nested, multi-source payment data into optimized tabular formats.. SQL Optimization: Write and tune expert-level SQL (PostgreSQL/Redshift) for complex joins and high-volume analytical queries.. Pipeline Orchestration: Design and maintain scalable ETL/ELT workflows using Apache Airflow within the AWS ecosystem.. Code Architecture: Ensure analytical codebases are modular, scalable, and maintainable using Git and best development practices.. Real-Time Analytics: Build logic for real-time processing to support instantaneous fraud detection and payment scheme analysis.. Languages: Fluency in SQL (Postgres/Redshift) and Python (focus on OOP and efficiency).. Tools: Experience with Apache Airflow, Git, and the AWS ecosystem.. Domain: Interest or experience in FinTech and real-time processing.. Mindset: Strong critical thinking, attention to detail, and ability to manage multiple tasks.. Experience: 3+ years in a data-focused role.. Company Location: Latvia.