Related skills
aws sql dbt airflow spark📋 Description
- Team Leadership: Manage and mentor a team of 3.
- Strategic Oversight: Define data quality strategy and standards.
- Data Reliability Frameworks: Establish SLAs, KPIs, and monitoring.
- System Engineering: Design and maintain automated data validation.
- Cross-Functional Collaboration: Instrument telemetry with teams.
- Root Cause Analysis: Investigate data issues and drift.
- Governance & Compliance: Support data governance and privacy.
🎯 Requirements
- Bachelor's degree in CS, Data Engineering, or related.
- Extensive experience in data engineering or data quality with leadership.
- Expert-level SQL skills with large-scale, event-driven data.
- Proficiency with data pipelines and orchestration tools (Airflow, dbt, Spark).
- Proven track record designing scalable data validation and monitoring.
- Gaming industry or high-volume live-service experience.
- Familiarity with data observability tools like Great Expectations or Monte.
- Experience with cloud platforms (AWS, Databricks, Snowflake, GCP, Azure).
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