Data Engineer

January 30, 2025

UPGAMING is a reliable software provider company consisting of versatile, high-quality and bold features fully adapted to any casinos for their professional functioning. It also ensures its growing and further success.

The company is distinguished by high social responsibility and special care for employees. We believe that a happy employee is the guarantee of a successful business, therefore, taking care of the personal and professional growth of the team is our daily activity.

UPGAMING invites you to join your team.

Responsibilities

Data Infrastructure: Design, implement, and optimize databases and data warehouses, with a focus on high performance and scalability.
ETL Development: Develop, manage, and maintain efficient ETL pipelines to extract, transform, and load data from diverse sources.
Datamarts Creation: Design and build datamarts and datasets to support BI dashboards and ML model training/testing.
ML Engineering: Collaborate with Data Scientists to implement and maintain machine learning pipelines using tools like Apache Airflow, ensuring scalability and robustness.
Collaboration: Partner with cross-functional teams to identify data needs and provide solutions for analytics, reporting, and predictive modeling.
Data Quality: Monitor and ensure data integrity, consistency, and quality throughout pipelines.
Performance Tuning: Optimize database queries, ETL jobs, and ML pipelines for efficiency and performance.
Documentation: Maintain comprehensive documentation of data systems, pipelines, and workflows.

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
Proficiency in databases (SQL) and data warehousing technologies.
Hands-on experience with Clickhouse.
Expertise in ETL tools and frameworks.
Experience in creating datamarts and managing datasets for BI and ML.
Proficiency in ML engineering tools such as Airflow, or similar.
Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Eagerness to learn and stay updated on emerging technologies.
Nice to have experience with real-time data processing tools (Kafka).
Nice to have knowledge of data visualization tools (Tableau, Power BI).

We Offer

Training/online courses and workshops/conferences/books to improve your hard- and soft skills;
Free Vending Machines in Office Areas.
Corporate parties, fun days and trips;
Best career development opportunities in an international company;
Food Benefit;
Health Insurance – TBC;

Working schedule

Mon-Fri (Weekly 40 hrs) ; On Site

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