Big Data Systems Engineer

1 week ago

London, Greater London, United Kingdom Northrop Grumman Full time
About Your Opportunity

As a key member of our team, you will play a critical role in 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 Responsibilities
  • Develop and maintain scripts for automating data processes and workflows.
  • Diagnose and resolve technical issues related to big data systems, data pipelines, and integrations.
  • Conduct thorough testing to ensure seamless integration of new tools and technologies into existing systems.
  • Utilize in-depth knowledge of Linux internals to optimize performance and reliability of big data infrastructure.
  • Apply understanding of TCP/IP and OSI models in the design and troubleshooting of networked systems.
  • Manage and optimize data pipelines and orchestration tools such as NiFi and Airflow.
  • Design scalable big data systems with a focus on security, GDPR compliance, and privacy.
  • Leverage hybrid cloud experience to manage on-premise and AWS cloud resources effectively.
  • Support data science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK.
  • Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing.
  • Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights.
Your Experience
  • Proven experience in scripting languages such as Python, Bash, or similar.
  • 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 NoSQL engines/platforms such as Hive, Impala, and Elasticsearch.
  • Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI.
About Our Responsibilities

Our customers operate in unique environments which offer new and exciting challenges every day, cultivating a place where you can learn and thrive, working alongside the best minds in industry. We'll give you space to develop your career, where your ideas can shape the future of our dynamic business.

We promote collaboration to achieve more than we could imagine, together. And within a respectful and inspirational environment, we value what you say and do.

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