Related skills
bigquery sql python hadoop airflow📋 Description
- Design, build, and optimize ETL and real-time data pipelines.
- Lead and mentor data engineers; set standards and best practices.
- Collaborate with data scientists, analysts, and stakeholders.
- Ensure data quality, governance, and privacy compliance.
- Drive automation, testing, and optimization of pipelines.
- Architect data solutions across on-prem and cloud environments.
🎯 Requirements
- 8+ years in data engineering; 2+ years leadership.
- Data warehousing, ETL, data modeling, architecture.
- Strong with Hadoop, Spark, Kafka; SQL, Python, Java.
- Cloud experience (AWS, GCP, Azure).
- Experience with Apache Airflow or similar.
- Bachelor's/Master's in CS/Engineering/DS or equivalent.
- Excellent problem-solving and communication skills.
🎁 Benefits
- Competitive salary plus performance-based bonus
- Medical, dental, vision insurance
- 401K match and paid time off
- Flexible PTO and holidays
- Remote-friendly culture with flexible options
- Professional development support and stipends
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