Data Tech Lead
Netanya, Center District, IL
DRS RADA Technologies
Description
DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.
We’re seeking a Data Tech Lead to drive technical excellence in data engineering and analytics. As the go-to expert, you'll set the technical direction, optimize data pipelines, and tackle programming challenges—closing knowledge gaps, solving data-related questions, and streamlining operations. You'll also design scalable architectures, manage ETL workflows, and enhance data processing efficiency.
Key Responsibilities:
• Oversee the technical aspects of data projects by making architectural and design decisions.
• Streamline existing operations and implement improvements with the team’s collaboration.
• Guiding team members in technical matters, and supervising system modifications.
• Conducting Code reviews for data analysts, BI Analysts and data engineers.
• Bridge technical knowledge gaps within the data team, answering critical product-related questions.
Requirements
• 5+ years of experience in data engineering & Big Data Analytics.
• Data Engineering & Automation: Building robust, production-ready data pipelines using SQL, Python, and PySpark, while managing ETL workflows and orchestrating data processes with Airflow (unmanaged) and Databricks.
• Big Data Analysis & Distributed Processing: Expertise in Databricks (Spark, etc.) for handling large-scale data analytics with optimized efficiency.
• Cloud Infrastructure: Proficient in Cloud Services (preferably Azure) for data storage and processing.
• Data Architecture: Expertise in data architecture to ensure best practices in scaling, cost efficiency, and performance optimization.
If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Azure Big Data Data analysis Data Analytics Databricks Data pipelines Engineering ETL Pipelines PySpark Python Radar Spark SQL
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