Related skills
snowflake sql python databricks airflow📋 Description
- Lead strategy, design, and implementation of scalable data pipelines and platforms.
- Manage Data Engineering backlog, priorities, and capacity for timely delivery.
- Collaborate with data scientists, analysts, and product teams to deliver data solutions.
- Oversee ETL/ELT processes, data models, and integration frameworks.
- Ensure data quality, governance, security across systems.
- Monitor and optimize data infrastructure for performance and cost.
🎯 Requirements
- 7+ years data engineering experience; degree in CS or related.
- 2+ years leadership/mentoring engineers.
- Proven scalable ETL/ELT pipelines and data platforms experience.
- SQL, Python, and data modeling proficiency.
- Cloud data architectures (Azure/AWS/GCP); Databricks, Snowflake, Spark, Airflow.
- Data governance, data security, API/data integration; English fluency.
🎁 Benefits
- Fast-paced international company with diverse gaming/e-commerce clients.
- Inclusive culture; 80+ countries, 25+ languages.
- Innovative digital tools and learning opportunities.
- Various learning and career development initiatives.
- Employee engagement activities and communities (5CA Connect, Pride).
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