Data Analytics Engineer

We're the creators of Highrise, which is now featured in the iOS App Store with 50 million users and rapidly growing. We're building bleeding-edge technology that enables both developers and amateurs to create immersive and accessible virtual experiences and directly deploy them to a platform with millions of users.

About the Role

As a Data Analytics engineer, you will play an important role in harnessing the power of data to drive insights, support the internal teams in the decision-making process, and enhance player experiences. You will be responsible for designing, developing, and maintaining data pipelines and dashboards, analyzing datasets, and providing actionable insights to stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams to understand data requirements, define metrics, and develop dashboards and reports to monitor game performance and player behavior.

• Maintain, develop and design scalable data pipelines to ingest, process, and analyze large volumes of game-related data.

• Optimize and tune SQL queries for performance and efficiency to support real-time and batch processing requirements.

• Perform analysis of game telemetry data to identify trends, patterns, and opportunities for optimization and monetization.

• Stay current with industry trends, best practices, and emerging technologies in data engineering, analytics, and gaming.

Required Skills and Qualifications:

• A can-do attitude, a passion for learning, and a creative approach to solving complex problems.

• 2+ years of experience in data engineering and analytics roles, preferably in the gaming industry.

• Expert-level proficiency in SQL with an understanding of relational and NoSQL database concepts and query optimization techniques.

• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.

• Excellent communication and collaboration skills with the ability to work effectively in a cross-functional team environment.

• Proficiency in Python for data manipulation and automation.

• Experience working with large-scale datasets using technologies such as BigQuery/Redshift/Snowflake, MongoDB, PostgreSQL, etc.

• Prior experience with mobile game datasets or a strong interest in gaming is a plus.

Our tech stack includes GCP and AWS services as:

• Redshift and BigQuery

• PostgreSQL, MongoDB, DynamoDB

• Apache Airflow

• PubSub, DataFlow

• Cloud Functions

• LookerStudio

The most important are these:

• Can do approach

• Willingness to learn

• SQL