Data Engineer

Description

About the us

Candivore, founded in 2018, is an independent mobile gaming company. Our flagship game, Match Masters, is an innovative multiplayer match-3 puzzle enjoyed by millions of players worldwide. At Candivore, we thrive on small, collaborative teams where every voice matters and each team member can make a meaningful impact on the final product. We believe that open, honest, and respectful communication is key to driving our games forward.

About the job

About the job

We are looking for an experienced Data Engineer with a real passion for building complex, high capacity analytical systems to join Candivore and the Match Masters team. As a data engineer developer you will be part of the Data group and strive to ensure the smooth running of all data pipelines, the integrity and quality of our data infrastructure. You will be responsible for designing and building comprehensive analytical systems that represent behavioral statistics of millions of players.

Responsibilities

Responsibilities

• Design, develop, and maintain scalable ETL processes using Python and modern orchestration tools like Apache Airflow.
• Architect and optimize data pipelines for Snowflake to support data warehousing and real-time data needs.
• Manage and integrate cloud infrastructure, particularly in AWS, to ensure seamless data flow.
• Work with ElasticSearch (or similar tools) to handle large-scale data indexing and searching.
• Build and maintain streaming data pipelines to capture real-time game events and integrate them into the data platform.
• Ensure data integrity, quality, and governance across all sources and destinations.
• Collaborate with data analysts, game developers, and other stakeholders to understand data requirements and optimize systems.
• Troubleshoot and resolve issues in data pipelines and streaming services.

Requirements

Requirements

• 3+ years of experience as a Data Engineer or in a similar role.
• Proficiency with Snowflake (or similar) for data warehousing and SQL query optimization.
• Strong experience with Apache Airflow or similar orchestration tools for managing ETL workflows.
• Hands-on experience with AWS cloud services (S3, Kinesis, Lambda etc.).
• Hands on experience and Proficiency in Python.
• Knowledge of real-time data streaming frameworks (e.g., Kafka, Kinesis).
• Strong understanding of database architecture, data modeling, and data integration.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a collaborative team.

Preferred Qualifications

Nice to Have:

• Experience with ElasticSearch (or similar technology) for indexing and querying large datasets.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Experience working in the gaming or entertainment industry.