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aws python databricks pyspark delta lake📋 Description
- Lead and grow a team of data engineers on large-scale systems.
- Architect end-to-end data solutions with AWS and Databricks.
- Hire, onboard, and develop engineers with growth plans.
- Collaborate with data science, analytics, product, and business teams.
- Drive best practices: CI/CD, coding standards, monitoring.
- Own the data platform vision and roadmap; ensure data quality.
🎯 Requirements
- BS/MS in Computer Science or related field.
- 8+ years in data engineering; 2-3+ years managing 1-3 engineers.
- Hands-on with Spark, Hive, Hadoop; Databricks; Delta Lake; Unity Catalog.
- Python and PySpark; data modeling; ETL/ELT; streaming; performance tuning.
- LLM/RAG for search quality; semantic retrieval; reranker design.
- Leadership, Agile delivery, cross-functional collaboration; Airflow/Docker nice-to-have.
🎁 Benefits
- Hybrid work schedule with flexible hours.
- Global, cross-functional teams (US/LatAm) collaboration.
- Equal opportunity employer.
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