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Big Data Systems Architect
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We are seeking a highly skilled and experienced Senior Data Engineer to join our team at Northrop Grumman UK. As a key member of our Cyber & Intelligence business, 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.
Key Responsibilities- Design and Development: Develop and maintain scripts for automating data processes and workflows, ensuring seamless integration of new tools and technologies into existing systems.
- Troubleshooting and Support: Diagnose and resolve technical issues related to big data systems, data pipelines, and integrations, providing expert-level support to cross-functional teams.
- Integration Testing: Conduct thorough testing to ensure seamless integration of new tools and technologies into existing systems, identifying and resolving any issues that may arise.
- Linux Internals and Network Protocols: Utilize in-depth knowledge of Linux internals and system administration, as well as understanding of TCP/IP and OSI models, to optimize performance and reliability of big data infrastructure.
- Data Pipeline Management: Manage and optimize data pipelines and orchestration tools such as NiFi and Airflow, ensuring efficient and scalable data processing.
- Scalable System Design: Design scalable big data systems with a focus on security, GDPR compliance, and privacy, ensuring that our systems meet the highest standards of data protection.
- Hybrid Cloud Management: Leverage hybrid cloud experience to manage on-premise and AWS cloud resources effectively, ensuring seamless integration and optimal performance.
- Data Science Support: Support data science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK, providing expert-level support to cross-functional teams.
- Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing, ensuring efficient and scalable data processing.
- Business Intelligence and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights, driving business decisions and growth.
- Proven Experience: Proven experience in scripting languages such as Python, Bash, or similar, with a strong understanding of Linux internals and system administration.
- Strong Troubleshooting Skills: Strong troubleshooting skills and the ability to diagnose and resolve complex technical issues, providing expert-level support to cross-functional teams.
- Integration Testing and Tool Integration: Experience with integration testing and ensuring seamless tool integration, with a strong understanding of TCP/IP and OSI models.
- Hybrid Cloud Experience: Hands-on experience with hybrid cloud environments, specifically with on-premise and AWS cloud resources, ensuring seamless integration and optimal performance.
- Data Science and AI Tools: Familiarity with data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK, providing expert-level support to cross-functional teams.
- Big Data Platforms and NoSQL Engines: Experience with big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch, ensuring efficient and scalable data processing.
- Business Intelligence and Visualization Tools: Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI, providing actionable insights and driving business decisions and growth.
- Certification in AWS or Cloud Platforms: Certification in AWS or other cloud platforms, demonstrating expertise in cloud computing and hybrid cloud environments.
- Additional Data Orchestration Tools: Experience with additional data orchestration tools, such as Apache Beam or Apache Flink, ensuring efficient and scalable data processing.
- Familiarity with Big Data Tools and Technologies: Familiarity with other big data tools and technologies, such as Hadoop or Cloudera, ensuring seamless integration and optimal performance.
- Previous Experience in Similar Role: Previous experience in a similar role within a dynamic and fast-paced environment, with a strong understanding of data science, machine learning, and AI workloads.
We believe that creating a team that values diversity and fosters inclusion is essential to great performance. We know the best ideas come from diversity of thought, background, perspective, culture, gender, race, age, and many other elements. We welcome candidates from all backgrounds and particularly from communities currently under-represented within our industry. We treat everyone with respect and foster safe and inclusive environments.
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.
