Lockheed MartinRemote
Sr. Data Engineer (mid-career)
United States of America
Full Time
2 weeks ago
H1B Sponsor Likely
Key skills
SAP HANA Model developmentSAP Data Services (BODS) developmentSQL scriptingApplication lifecycle managementRelational databasesNoSQL databasesOracle stored procedure developmentGitGitLabSAP HANA calculation view modelingPerformance optimizationData modeling with ErwinCloud Pak for Data (CP4D)ERP systemsMES systemsPLM systemsSAP Functional ERP knowledgeCI/CD pipelineProcess automationSQL debuggingPythonJavaAzureData engineeringData architectureChange managementIncident managementAgile Release and Sprint planningAgile methodologiesDevOps methodologiesJIRASQLNoSQLData EngineeringAnalyticsOracleRepositoryPerformance OptimizationERPSAPJiraAgileCI/CDCommunication
About this role
Lockheed Martin is a pioneer, partner, innovator and builder. This position is for a Data Engineer 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. The ideal candidate will support various efforts in delivering full-stack data solutions across the entire data processing pipeline.
Responsibilities:
- 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 discover, 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
Requirements:
- SAP Hana Model development and migration
- SAP Data service (BODS) development
- SQL scripting and application lifecycle management
- Knowledge with structured and unstructured data in relational or NoSQL databases
- Develop Oracle and SQL stored procedure
- Knowledge of software engineering and building data pipeline automations using GIT & Gitlab
- US Citizenship
- Experience with SAP HANA including calculation view modeling and performance optimization
- Data modeling experience using tools like Erwin
- Knowledge on Cloud Pak for Data (CP4D)
- Knowledge of ERP, MES, or PLM systems
- Demonstrated 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