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Data Engineer Analytics Department 4+ Years March 10, 2025

Bgaming

Snowflake (AZ)

Remote

USD 80,000 - 120,000

Full time

30+ days ago

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Job summary

An innovative game development studio is seeking a Senior Data Engineer to enhance data processes and ensure data integrity. This role involves building robust data pipelines, automating data processing, and collaborating with cross-functional teams to derive actionable insights. The company, known for its cutting-edge gaming solutions, offers a flexible remote work environment and a highly competitive compensation package. Join a community of experts in the fast-growing iGaming industry and make a significant impact by leveraging your expertise in cloud computing, data engineering, and analytics.

Benefits

Flexible Schedule

Paid Vacation

Medical Insurance

Professional Training

Language Courses

Qualifications

Extensive experience in software engineering and data delivery systems.
Strong cloud computing expertise and senior-level experience with Snowflake.
Proficiency in Python for data processing and automation.

Responsibilities

Build scalable and robust data pipelines for self-service data analysis.
Ensure compliance with data governance and security policies.
Collaborate with data scientists on various projects.

Skills

Software Engineering

Data Delivery Systems

Cloud Computing

Snowflake

SQL

Python

Data Mining

ETL Pipelines

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS

Postgres

Kafka

Airflow

Power BI

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BGaming is a game development studio that is proud of having worldwide recognition in the sphere. Our innovative video slots are admired in the industry for numerous qualities: from eye-catching graphics, attractive features, and entertaining plots to capacity for easy integration, multi-device availability, intuitive interface, and ground-breaking formats. This series of elements have been carefully developed to create a unique gaming experience.

On top of that, we were the first major iGaming provider to introduce the "provably fairness feature". With the help of cryptography, players can easily verify that all game results are indeed unbiased and random. We are a “remote-first” company, most of our employees work remotely, which does not prevent us from maintaining and strengthening the team spirit, mutual support, and willingness to help.

Role overview

BGaming Senior Data Engineer is responsible for gathering, transformation and reality check of data. The data is supposed to be correct, full and updated daily. Administration of AWS and Snowflake as well as automation of processes is required. The current process of data flow is Postgres-Kafka-Snowflake.

Responsibilities

Evaluate business needs and objectives
Build business-critical, scalable, and robust data pipelines and intuitive data products for self-service data discovery and analysis
Develop algorithms to transform data into actionable insights
Build, test, and maintain database pipeline architectures
Ensure compliance with data governance and security policies
Combine, analyze, and organize raw data from different sources
Automate data processing tasks
Improve data quality and reliability
Identify opportunities for data acquisition
Collaborate with data scientists and analysts on various projects
Prepare data marts for analytical needs
Review and optimize new data marts to reduce update time
Continuously acquire new data sources to enrich datasets on users, content, and marketing

Requirements

Extensive experience in software engineering, deployment, and integration with data delivery systems, data platforms, and data warehouses
Proven track record of building and optimizing data platforms, providing APIs for model access
Strong cloud computing expertise, including cloud storage, cloud computing services, and data flow orchestration (Amazon Web Services – AWS)
Senior-level experience with Snowflake and deep understanding of OLAP specifics
Hands-on experience in data warehouse design and optimization
Advanced SQL skills, including slicing and dicing, pivoting, advanced window functions, and performance tuning
Proficiency in Python for data processing and automation
Strong knowledge of data models, data mining, and segmentation techniques
Experience in designing, building, and maintaining SQL databases, Data Lakes, and Data Marts, as well as working with large data volumes
Expertise in developing ETL pipelines for large-scale datasets and feature engineering
Experience with sourcing and modeling data from application APIs
Familiarity with stream-processing applications using Kafka Streams
Strong communication skills in English
Ability to learn and adapt to new technologies, develop custom tools, and find innovative solutions to existing challenges.

Nice to have