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java aws sql python kubernetes📋 Description
- Design, build, and maintain scalable data systems for production.
- Collaborate with cross-functional teams to design and manage data platforms.
- Develop and optimize data pipelines and ETL with Spark and Airflow.
- Monitor, optimize, and troubleshoot large-scale data workloads.
- Mentor junior engineers and provide technical guidance.
🎯 Requirements
- 5+ years in software or data engineering with big data.
- Proficiency in Apache Spark and Apache Airflow.
- Experience designing and maintaining large-scale data systems.
- Strong SQL with query optimization for large datasets.
- Proficiency in Python, Java, or Scala.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).
🎁 Benefits
- Global mental health and financial wellness resources.
- Local healthcare, life, disability, and retirement options.
- Generous time off and flexible work arrangements.
- Accommodations for accessibility and inclusion.
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