Software Engineer

This position is for a Data Engineer Staff within the Lockheed Martin Chief Data and Analytics Office (CDAO) supporting Space System's Business Innovation, Transformation and Enterprise Excellence (BITEE) Organization - Data & Analytics COE. This is a great opportunity for someone who is looking to work in a fast-paced data organization where the latest technologies will be developed and applied. We are looking for someone with strong hands on experience in all layers of data integration and analytics to support our various efforts. The ideal candidate has experience and a solid understanding of delivering full-stack data solutions across the entire data processing pipeline. The work location for this position is virtual. Duties and responsibilities include, but are not limited to:

• Exhibit a degree of ingenuity, creativity, proactiveness, and resourcefulness when collecting, processing, and making data available for analysis while working within an agile environment
• - Collaborate across Business Transformation to strategize and implement common business processes and systems design for Data Warehouse & Analytics
• Work through all stages of data pipeline to Client, analyze, model, digest, clean, curate, secure, aggregate, and catalog unorganized & organized data at scale and at speed
• Develop solutions across data fabric for interoperability between current and emerging technologies in alignment with Space and Enterprise reference architectures
• US Citizenship

• Experience in SAP HANA native development, including calculation view modeling and performance optimization, SQL scripting, and application lifecycle management
• Experience with structured and unstructured data in relational or NoSQL databases, including data warehouse, hosted on-premise or in the cloud (SAP HANA, Microsoft SQL server, Oracle, etc.)
• Experience with ETL tools such as SAP Data Services, Informatica, Tableau Prep, Altyrex or equivalents and data modeling experience using tools like Erwin
• Experience with software engineering and building data pipeline automations using GIT & Gitlab
• Experience with ERP, MES, or PLM systems

• CP4D tools
• Demonstrated Strong SAP HANA and Data Services hands on knowledge
• Proven SAP Functional ERP knowledge/experience
• Strong Knowledge on Cloud pak for Data (CP4D)
• Hands on ci/cd pipeline using git repository
• Demonstrated process automation experience
• Excellent SQL and Debugging skills
• Experience in Python, Java, Azure will be a plus

• Demonstrated experience working with technical teams
• Demonstrated Data engineering and Architecture experience developing complex technical solutions
• Demonstrated change and incident management experience for organization
• Demonstrated experience working projects across dispersed geographical locations
• Strong organization, analytical and problem-solving skills with the ability to manage priorities
• Demonstrated business acumen and ability to balance technical requirements with business needs
• Demonstrated experience with Agile Release and Sprint planning
• Proven experience with Agile and DevOps methodologies/techniques
• Experience with Agile Tool Suites (JIRA preferred)
• Excellent communication skills, ability to collaborate with internal and external stakeholders

• Demonstrated ability to thrive in a virtual business environment
• Experience working on an agile team under frameworks like Scrum, SAFe, or Kanban.
• Experience with SAP S/4HANA Embedded Analytics, including CDS artifacts, SAP Fiori, and SAPUI5 web applications
• Experience applying data governance principles and working with data stewards and system owners
• Databases: Big Data (i.e. Hadoop), Graph (i.e. Neo4j)
• Languages: Cypher, Angular, Kotlin, HTML/CSS, GraphQL, JSON, JavaScript, Python
• Containers/Cloud Computing: AWS, OpenShift, OpenStack
• Other: Logstash, Spring Boot, Gradle, Node JS, NPM, Data APIs
• Demonstrated positive attitude even under pressure
• Strong lean and root cause analysis skills PLANIT Group