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Description
- GR8 Tech is a leading B2B provider of iGaming solutions that empowers operators to grow, lead, and win. We deliver high-impact, full-cycle tech solutions designed to scale. From seamless integration and expert consulting to long-term operational support, our platform powers millions of active players and drives real business growth. It’s more than just a product — it’s the iGaming Platform for Champions, built for those who play to lead. We know the game and how to take it to the next level. With 1000+ talented professionals on board, we don't just build tech — we build success stories for iGaming operators all over the world. Our ambition drives us, our people make it real. Join us and be part of building champion-level success!
- What You’ll Be Driving:
- Working with large datasets (100+ TB) with updates at least hourly;
- Developing and supporting ETL/ELT processes across multiple data sources;
- Building and maintaining data warehouses and data marts on AWS (S3, Athena, Redshift), GCP (Cloud Storage, BigQuery), and PostgreSQL;
- Designing and implementing RESTful APIs (Aiohttp, Flask, FastAPI) for internal and external data consumption;
- Collecting and processing data from Kafka, Google Analytics, Firebase, Appsflyer, Cloudflare, and other third-party applications;
- Designing and maintaining a centralized data catalog with well-validated and documented data models;
- Automating data quality and integrity tests to ensure high data reliability;
- Developing and integrating semantic layers to standardize data access across teams;
- Creating and maintaining comprehensive project documentation;
- Collaborating with cross-functional teams to understand business requirements and translate them into scalable data solutions;
- Driving continuous improvement in data engineering processes, tools, and best practices;
- Monitoring data pipelines, resolving incidents, and optimizing performance.
- What Makes You a GR8 Fit:
- Minimum of 2+ years of experience in Python / Data Engineering;
- Hands-on experience with ETL, Data Warehousing, and relational databases (PostgreSQL, Microsoft SQL Server, etc.);
- Experience with job scheduling and task queues;
- Familiarity with cloud providers: AWS (S3, Athena, Redshift), GCP (Cloud Storage, BigQuery), or similar;
- Proficiency in Linux and containerization (Docker);
- Experience with BDD, TDD, or unit testing frameworks;
- Extensive knowledge of software design best practices and design patterns;
- Solid Computer Science fundamentals and database theory (types, pros/cons);
- Experience in performance tuning of ETL jobs, SQL queries, partitioning, and indexing;
- Hands-on experience with version control systems (git) and CI/CD pipelines;
- Familiarity with web/mobile application data sources is a plus;
- Knowledge or experience with Kubernetes, Apache Airflow, DBT, NoSQL databases (MongoDB, Elasticsearch, Redis), Kafka ecosystem, IaC tools (Terraform, Ansible), Salesforce platforms, and Graph databases (Neo4j, AgensGraph) is a plus;
- Experience in near real-time data processing and data visualization tools (Tableau, PowerBI, Metabase, Grafana, Kibana, Apache Superset) is a plus;
- Strong problem-solving, analytical, and data-driven decision-making skills;
- Excellent communication skills, with the ability to collaborate across technical and non-technical teams;
- Intermediate English or higher.
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Requirements
- Minimum of 2+ years of experience in Python / Data Engineering
- Hands-on experience with ETL, Data Warehousing, and relational databases (PostgreSQL, Microsoft SQL Server, etc.)
- Experience with job scheduling and task queues
- Proficiency in Linux and containerization (Docker)
- Experience with BDD, TDD, or unit testing frameworks
- Solid Computer Science fundamentals and database theory (types, pros/cons)
- Experience in performance tuning of ETL jobs, SQL queries, partitioning, and indexing
- Hands-on experience with version control systems (git) and CI/CD pipelines
- Familiarity with web/mobile application data sources is a plus
- Knowledge or experience with Kubernetes, Apache Airflow, DBT, NoSQL databases (MongoDB, Elasticsearch, Redis), Kafka ecosystem, IaC tools (Terraform, Ansible), Salesforce platforms, and Graph databases (Neo4j, AgensGraph) is a plus
- Experience in near real-time data processing and data visualization tools (Tableau, PowerBI, Metabase, Grafana, Kibana, Apache Superset) is a plus
- Strong problem-solving, analytical, and data-driven decision-making skills
- Excellent communication skills, with the ability to collaborate across technical and non-technical teams
- Intermediate English or higher
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Benefits
- Benefits Cafeteria with an annual fixed budget for activities, wellness, and learning
- Medical insurance and wellness services
- Mental health support through therapy or coaching
- Home office setup with ergonomic furniture, gadgets, and tools
- Language courses for skill improvement
- Parental support with paid maternity/paternity leave and monthly childcare allowance
- 20+ vacation days, unlimited sick leave, and emergency time off
- Remote-first setup with full tech support and coworking compensation
- Regular team events online, offline, and offsite
- Internal courses, career development programs, and growth opportunities