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Data Engineer

DRS RADA Technologies

Where
Netanya, Israel, on-site
Language, from the listing
No Hebrew mentionedA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
Dates
Found 7 Oct 2026
Last checked on the employer's site
4 h ago (7 Oct 2026)
Source
Employer career page (Comeet)

What they ask for

  • 4 years of experience in data engineering or related fields.
  • Proficiency in Python for data processing and automation (mandatory).
  • Deep understanding of Apache Spark and Databricks for big data processing (mandatory).
  • Experience with Git (mandatory).
  • Expertise in Apache Airflow for workflow orchestration.
  • Familiarity with cloud-based environments, particularly Azure.
  • Advanced proficiency in SQL and query optimization.
  • Familiarity with data modeling, ETL/ELT principles, and performance tuning.
  • Knowledge of CI/CD and containerization (Docker).
  • An enthusiastic, fast-learning, team-oriented, and motivated individual who loves working with data.

The full listing

Description DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business. Key Responsibilities: • Design, develop, and optimize ETL/ELT pipelines for large-scale data processing. • Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, and Azure services. • Troubleshoot and optimize queries and jobs for performance improvements. • Implement best practices for data governance, security, and monitoring. • Stay updated with industry trends and emerging technologies in data engineering. If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you! Requirements • 4 years of experience in data engineering or related fields. • Proficiency in Python for data processing and automation (mandatory). • Deep understanding of Apache Spark and Databricks for big data processing (mandatory). • Experience with Git (mandatory). • Expertise in Apache Airflow for workflow orchestration. • Familiarity with cloud-based environments, particularly Azure. • Advanced proficiency in SQL and query optimization. • Familiarity with data modeling, ETL/ELT principles, and performance tuning. • Knowledge of CI/CD and containerization (Docker). • An enthusiastic, fast-learning, team-oriented, and motivated individual who loves working with data.