Senior Data Analyst

Epic Frog Skatīt visus darbus

  • Rīga
  • Pastāvīgs
  • Pilna laika
  • Pirms 3 dienām
  • Pieteikties vienkārši
  • 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
  • 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.
Requirements
  • 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.
Benefits● Spacious and modern office;● Paid lunch in the office;● Company sponsored professional trainings, certifications, and conferences;● Social events - team buildings, corporate events;● Friendly and experienced team members who will support your professional growth.

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