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Senior Data Engineer - Ontic Engineering and Manufacturing
Data Engineer
Lead the design and implementation of scalable data pipelines and lakehouse solutions using Python, SQL, AWS, and Spark to empower aerospace and defense analytics.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end data pipelines from ingestion to analytics using Python, SQL, and Spark on AWS.
- Design and optimize data lakehouse structures, ensuring high performance, reliability, and data quality for mission‑critical aerospace datasets.
- Collaborate with data scientists, product owners, and DevOps to translate business requirements into robust, reusable data services.
- Implement automated monitoring, alerting, and documentation for all data workflows.
- Drive continuous improvement of data platform capabilities, including cost‑efficiency, scalability, and security best practices.
Requirements
- 5+ years of experience in data engineering, with a strong focus on cloud (AWS) and big data technologies.
- Proficiency in Python, SQL, and Spark for large‑scale data processing.
- Hands‑on experience with AWS services such as S3, Glue, Redshift, Athena, and Lambda.
- Solid understanding of data modeling, ETL design, and data lakehouse architecture.
- Excellent problem‑solving skills and a collaborative mindset in a fast‑paced, global team environment.