Big Data Engineer - R10188677

Overview

Join to apply for the Big Data Engineer - R role at Northrop Grumman UK.

UK CITIZENSHIP REQUIRED FOR THIS POSITION:
Yes

RELOCATION ASSISTANCE:
Relocation assistance may be available

CLEARANCE TYPE: UK-Highest Level of Government Clearance

TRAVEL:
Yes, 10% of the Time

Salary: £77,400 - £116,000

Define Possible at Northrop Grumman UK

At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mindset goes beyond our customer solutions; it’s the foundation for your career development and the impact we have within the community. So, what’s your possible?

Opportunity

This is more than just a job; it’s a mission.

As a Big Data Systems Engineer, you will be responsible for designing, implementing, and maintaining scalable big data systems that support our data science, machine learning, and AI workloads. You will work closely with cross-functional teams to ensure seamless data integration, security, and compliance with GDPR and privacy regulations. Your expertise in scripting, troubleshooting, and integration testing will be essential in optimizing our data pipelines and orchestration processes.

Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.

If you are looking for a career with meaning where you can make a difference to the nation’s security and support critical missions, then look no further.

“My purpose; to lead a team of engineers with the brightest minds, to push the boundaries and define possible together.”

• Scripting and Automation:
  Develop and maintain scripts for automating data processes and workflows.
• Troubleshooting:
  Diagnose and resolve technical issues related to big data systems, data pipelines, and integrations.
• Integration Testing:
  Conduct thorough testing to ensure seamless integration of new tools and technologies into existing systems.
• Linux Internals:
  Utilize in-depth knowledge of Linux internals to optimize performance and reliability of big data infrastructure.
• Network Protocols:
  Apply understanding of TCP/IP and OSI models in the design and troubleshooting of networked systems.
• Data Pipeline Support:
  Manage and optimize data pipelines and orchestration tools such as NiFi and Airflow.
• Scalable System Design:
  Design scalable big data systems with a focus on security, GDPR compliance, and privacy.
• Hybrid Cloud Management:
  Leverage hybrid cloud experience to manage on-premise and AWS cloud resources effectively.
• Data Science Support:
  Support data science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK.
• Big Data Platforms:
  Utilize big data No
  
  SQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing.
• BI and Visualization:
  Implement and support business intelligence and visualization tools like Tableau, Kibana, and Power
  
  BI to provide actionable insights.

• Strong troubleshooting skills and the ability to diagnose and resolve complex technical issues.
• Experience with integration testing and ensuring seamless tool integration.
• In-depth knowledge of Linux internals and system administration.
• Understanding of TCP/IP and OSI models.
• Hands-on experience with data pipeline tools like NiFi and Airflow.
• Proven ability to design scalable big data systems with a focus on security and GDPR compliance.
• Hybrid cloud experience, specifically with on-premise and AWS cloud environments.
• Familiarity with data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK.
• Experience with big data No
  
  SQL engines/platforms such as Hive, Impala, and Elasticsearch.
• Proficiency with business intelligence and visualization tools like Tableau, Kibana, and Power
  
  BI.
• Excellent…