Risk.Inc
Gaming • Gambling
Risk. Inc. is a dynamic company blazing a unique trail in the global entertainment industry, particularly focusing on iGaming and sports betting. The company embraces risk as an integral part of its strategy to innovate and expand rapidly across new markets and territories. With over 300,000 customers and 600 employees in more than 20 locations, Risk. Inc. seeks to redefine the entertainment landscape through bold creativity, technology innovation, and strategic partnerships. The company's mission is to adopt daring approaches, foster a vibrant community of industry talents, and lead the market with its cutting-edge solutions.
Junior Data Engineer
Job not on LinkedIn
September 19
🇺🇦 Ukraine – Remote
⏰ Full Time
🟢 Junior
đźš° Data Engineer
🚫👨‍🎓 No degree required
Risk.Inc
Gaming • Gambling
Risk. Inc. is a dynamic company blazing a unique trail in the global entertainment industry, particularly focusing on iGaming and sports betting. The company embraces risk as an integral part of its strategy to innovate and expand rapidly across new markets and territories. With over 300,000 customers and 600 employees in more than 20 locations, Risk. Inc. seeks to redefine the entertainment landscape through bold creativity, technology innovation, and strategic partnerships. The company's mission is to adopt daring approaches, foster a vibrant community of industry talents, and lead the market with its cutting-edge solutions.
đź“‹ Description
• Build and maintain ETL/ELT pipelines (Python/SQL) • Ingest, clean, and transform data from multiple sources (APIs, databases, files) • Work with AWS cloud services at a basic level • Support and optimize the existing data infrastructure • Perform data quality monitoring and validation • Collaborate with data analysts, data scientists, and engineers
🎯 Requirements
• Proficiency in Python for data processing (pandas, pyarrow, json, requests) • Solid understanding of databases (SQL, PostgreSQL/MySQL) • Basic experience with ETL tools (e.g., Airflow) • Knowledge of common data formats (JSON, CSV, Parquet) • Understanding of relational vs. non-relational data models • Nice to have: Experience with Apache Airflow, dbt, or Spark • Familiarity with Docker / Git / CI/CD • Hands-on skills with cloud platforms (AWS S3, Lambda, BigQuery) • English Pre-Intermediate+ (comfortable reading documentation)
🏖️ Benefits
• Children Allowance • Mental Health Support • Sport Activities • Language Courses • Automotive Services • Veterinary Services • Home Office Setup Assistance • Dental Services • Books and Stationery • Training Compensation • And yes, even Massage!
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