Analytics Engineer
Core
Design, build, and maintain scalable data pipelines and curated datasets to power analytics, reporting, and decision-making for a global online gaming company.
Role type
Analytics Engineer
Builds
Scalable ETL/ELT pipelines and analytics-ready datasets in Azure Databricks
Domain
Online Gaming / GameTech / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Azure Databricks, Apache Spark, version control (Git), data modeling, pipeline optimization
Preferred skills
Workflow orchestration (Airflow/Dagster), data quality testing frameworks, pipeline monitoring
Technologies
Azure Databricks, Apache Spark, Tableau, Looker, Power BI, GitHub/GitLab
Responsibilities
Create and optimize scalable ETL/ELT pipelines; Build robust transformations in Azure Databricks; Partner with analysts to deliver analytics-ready datasets; Evaluate and enhance the BI/data platform for reliability and cost-efficiency; Implement data quality practices and validation checks; Troubleshoot pipelines and perform root-cause analysis
Seniority
Mid-level, hands-on IC