Create and sustain scalable data pipelines using ETL/ELT methodologies

Develop and refine data integration solutions leveraging Databricks and PySpark

Partner with analysts and engineers to design self-service analytical platforms

Conduct ad hoc data investigations to support business insights and market analysis

Maintain comprehensive documentation and manage code repositories on GitHub

Convert business objectives into practical technical implementations and analytical frameworks

Manage priorities to ensure timely delivery of high-quality outcomes

Enforce data quality procedures to guarantee data accuracy and dependability

Enhance SQL query performance and scalability

Collaborate with cross-functional teams to unify data sources

Assist in data visualization initiatives using Tableau and Salesforce tools

Oversee and resolve issues in data workflows managed by Apache Airflow

Adhere to data security and compliance regulations

Extensive experience with Databricks and SQL including query tuning (3+ years)

Proficiency in PySpark or Spark/Scala for processing large datasets

Hands-on knowledge of cloud environments, particularly AWS

Familiarity with ETL/ELT processes and data integration methods

Capability to write clear, maintainable code accompanied by documentation

Strong analytical and problem-solving skills

Experience with web-scale databases such as Snowflake or BigQuery

Excellent spoken English skills at B2 level or higher

Effective time management and task prioritization abilities

Experience using GitHub for code management and collaboration

Ability to translate broad objectives into effective technical strategies

Experience with data visualization platforms like Tableau

Self-driven with capability to work independently and collaboratively

Background in gaming industry data analytics

Understanding of Salesforce data integration techniques

Knowledge of Apache Airflow for orchestration of workflows

Experience in constructing predictive models or conducting hypothesis tests

Relevant certifications in data engineering or cloud services