CFI Financial Group is looking for a Senior Data Engineer to work on data infrastructure, ETL processes, analytics solutions, and data science tooling for the online trading industry.

Main responsibilities:

  • Interpret and analyze complex data-related problems
  • Conceive, prioritize, and plan data projects aligned with organizational goals
  • Develop and implement databases, data collection systems, and analytics solutions
  • Optimize statistical efficiency and data quality
  • Acquire data from primary and secondary sources
  • Maintain databases and data systems
  • Identify, analyze, and interpret trends and patterns in complex datasets
  • Ensure data quality, accuracy, and integrity
  • Maintain data science and analytics documentation
  • Develop ETL processes using Python
  • Collaborate with team members and stakeholders
  • Identify opportunities where data can create business value
  • Develop and implement data science infrastructure (experiment tracking, feature stores, A/B testing platforms, etc.)

Requirements:

  • 4+ years of hands-on Python experience
  • 4+ years of hands-on SQL experience
  • Strong knowledge of database design and development
  • Data modeling, data mining, data segmentation
  • Experience building processes for data transformation and ETL
  • Experience with data structures, metadata management, dependency and workload management
  • Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, or related field
  • Strong analytical skills and ability to collect, organize, analyze, and present large amounts of information
  • Additional poster requirements: 3+ years Shell Scripting; 4+ years with Angular

Nice to have:

  • Databricks, Dataflow, Apache Spark
  • Prefect, MLflow or similar tools
  • ML/DL libraries and experience deploying ML/DL solutions

Benefits:

  • Competitive salary and benefits package
  • Work in a fast-growing multinational organization
  • Collaboration with experienced industry professionals
  • Supportive and collaborative work environment
  • Professional growth and development opportunities