Senior Data Engineer, Data Fabric
Elbit Systems Israel · Netanya, Center District, Israel
- On site
- Full-time
- $150,000 / year
- Netanya, Center District, Israel
Job highlights
- Lead technical design of advanced data fabric.
- Build scalable data architectures and pipelines.
- Process and derive insights from big data.
- Develop audit, observability, and compliance tools.
- Requires M.Sc. and 5+ years experience.
About the role
Senior Data Engineer, Data Fabric
We are looking for a Senior Data Engineer to take technical leadership in building and evolving the data fabric within our Military AI program. You will design and implement scalable data architectures, structure contextual data pipelines, and automate processes across big data environments. This is a unique opportunity to lead the technical design and innovation of advanced data infrastructure driving intelligence and operational decision-making.
Main Responsibilities
- Build smart logic data pipelines for processing, manipulating, and deriving insights from data.
- Collaborate with data stewards to define and build metadata schemes.
- Implement Data Functions as a Service (FAAS) and workflows including metadata generation, auto extraction, validation procedures, and format conversions.
- Develop tools for audit, observability, and compliance analytics.
- Analyze raw data, organize, and prepare data for prescriptive and predictive modeling.
- Conduct complex data analysis and report results.
- Enhance data quality, reliability, and manage data fusion from multiple sources.
- Develop analytical tools, algorithms, and data programs.
- Provide technical leadership of data structuring for contextual pipelines.
Requirements
- M.Sc. in Computer Science or Data Science.
- 5+ years of hands-on experience as a lead Big Data Engineer – must.
- Proven ability to develop and deploy Big Data & AI solutions using Apache Nifi, Kafka, Spark, Graph DB, NoSQL DB, and Airflow.
- Experience with Microservices architecture and S3 object storage – must.
- Strong coding skills in Python and Bash – must.
- Experience with metadata management and taxonomy for big data structures – advantage.
- Experience with public cloud Big Data & AI services – advantage.
- Familiarity with machine learning concepts – advantage.
- Excellent technical skills.
- Independent hands-on developer with a growth mindset.
- Team player, open-minded, and eager to learn.
*Only relevant applications will be answered
Key skills/competency
- Data Engineering
- Data Fabric
- Big Data
- Apache Nifi
- Kafka
- Spark
- Python
- Bash
- Metadata Management
- Microservices Architecture
Skills & topics
- Senior Data Engineer
- Data Fabric
- Data Engineering
- Big Data
- Apache Nifi
- Kafka
- Spark
- Python
- Bash
- Microservices
- AI
- Military AI
- M.Sc. Computer Science
- M.Sc. Data Science
- Data Architecture
- Data Pipelines
- Graph DB
- NoSQL DB
- Airflow
- S3 Object Storage
- Metadata Management
- Cloud Services
- Machine Learning
How to get hired
- Tailor your resume: Highlight your M.Sc. in Computer Science/Data Science and 5+ years as a Lead Big Data Engineer. Emphasize experience with Apache Nifi, Kafka, Spark, Graph DB, NoSQL DB, Airflow, Python, Bash, Microservices, and S3 object storage.
- Craft a compelling cover letter: Showcase your technical leadership, experience in building data fabric, and passion for Military AI programs. Mention your growth mindset and team player attitude.
- Prepare for technical interviews: Be ready to discuss your experience with Big Data & AI solutions, data pipeline design, metadata management, and coding in Python/Bash. Practice coding problems and system design questions related to data engineering.
- Research Elbit Systems Israel: Understand their work in Military AI and their commitment to innovation. Align your skills and career goals with their mission.
Technical preparation
Master advanced data pipeline design principles.,Practice Python and Bash scripting extensively.,Build sample projects with Kafka, Spark, and databases.,Understand Microservices and S3 object storage.
Behavioral questions
Describe a complex data problem you solved.,How do you lead technical data initiatives?,How do you ensure data quality and reliability?,How do you collaborate with data stewards?
Frequently asked questions
- What is the required education for the Senior Data Engineer role at Elbit Systems Israel?
- Elbit Systems Israel requires an M.Sc. in Computer Science or Data Science for the Senior Data Engineer, Data Fabric position.
- What are the must-have technical skills for the Senior Data Engineer job?
- The must-have technical skills include 5+ years as a lead Big Data Engineer, experience with Apache Nifi, Kafka, Spark, Graph DB, NoSQL DB, Airflow, Microservices architecture, S3 object storage, and strong coding skills in Python and Bash.
- Does Elbit Systems Israel offer opportunities for remote work for this Senior Data Engineer position?
- The job description indicates the role is based in Netanya, Israel, and does not explicitly mention remote work options. It is likely an on-site or hybrid position.
- What kind of projects will a Senior Data Engineer work on at Elbit Systems Israel?
- A Senior Data Engineer will focus on building and evolving the data fabric within a Military AI program, designing scalable data architectures, structuring data pipelines, and automating processes in big data environments.
- How important is experience with metadata management for this role?
- Experience with metadata management and taxonomy for big data structures is considered an advantage for the Senior Data Engineer position at Elbit Systems Israel.
- What are the 'advantage' qualifications for the Senior Data Engineer role?
- Advantages include experience with metadata management and taxonomy for big data structures, public cloud Big Data & AI services, and familiarity with machine learning concepts.
- What is Elbit Systems Israel's domain of work relevant to this Senior Data Engineer position?
- Elbit Systems Israel is involved in Military AI programs, where this Senior Data Engineer will contribute to advanced data infrastructure that drives intelligence and operational decision-making.
- How can I best highlight my qualifications for the Senior Data Engineer role at Elbit Systems Israel?
- To best highlight your qualifications, ensure your resume clearly details your M.Sc., 5+ years of lead Big Data Engineering experience, and proficiency with the listed technologies like Apache Nifi, Kafka, Spark, Python, and Bash. Quantify your achievements where possible.
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