Summary:
Job title: Data Engineer 3 Design, develop, deploy and maintain data pipelines, ETL/ELT processes, and data models serving game client telemetry and gameplay features. Work directly with stakeholders such as executive producers, designers, engineers, and marketing leads to spec and build game telemetry data artifacts to enhance data-driven product decisions. Perform ad-hoc analysis when requested. Provide basic data visualization work to serve designed models through semantic and visual analytics layers.
Job Responsibilities:
- Work with analytics director and studio stakeholders to determine data requirements in order to implement required pipelines, data models, and visualizations for core game insights.
- Design, develop, deploy, and maintain logical and physical data pipelines, storage, and semantic artifacts.
- Modify existing data processes to expand and extend capabilities to meet stakeholder requirements.
- Test programs or databases, correct errors and make necessary modifications.
Qualifications:
- Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
- 5-7 years applicable experience required.
- Experience with SQL, pyspark, Azure Data Factory, Azure Synapse, Azure Storage, Fabric, and Power BI.
- Experience with data lake processes and patterns, such as medallion architecture patterns.
- Experience transforming raw telemetry into conformed data models.
- Ability to work directly with business stakeholders to translate business requirements into analytics artifacts, such as telemetry spec and data models to ensure KPIs and measurements can be built out.
- Strong written and oral communication skills.
- Strong troubleshooting and problem solving skills.
- Demonstrated history of success.
What is the ideal background of a candidate for this role?:
Strong end-to-end data engineer capable of working independently along the data extract to data visualization space. Capable of working directly with business stakeholders.
Candidate Requirements
- Best vs. Average: The ideal resume would contain real actionable hands on experience in azure data factor.
Top 3 Must-Have HARD Skills & years of experience for each:
Pyspark: 5+ years
Data lake architectures: 5+ years
Data modeling: 5+ years
