Associate Data Engineer

Lockheed Martin•Orlando, FL

4d•Remote

About The Position

Join Lockheed Martin’s digital transformation journey as we accelerate the OneLM Mission-Driven Transformation on the Lockheed Martin Missiles and Fire Control Orchestration Platforms team. We are working on reshaping our operations and business processes to better serve our customers in terms of cost, quality, and capabilities, while delivering the speed, agility, and insights necessary to stay ahead of rapidly-evolving threats. The Missiles and Fire Control Orchestration Platforms Team is looking for an experienced Data Engineer to join our Data Engineering team. What You Will Be Doing: In this role, you be working with stakeholders, architects, and internal customers to build and maintain data models and database driven tools that accelerate our business processes Create ETL pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis. Design and implement data solutions by defining functional capabilities, security, back-up and recovery specifications. Formulating functional and technical requirements from business problems Design digital thread solutions that treat data as an asset that can easily move between systems. Architecting application landscapes and solutions for deployment within Lockheed Martin, leveraging expertise in IBM CloudPak (CP4D) Services architecture and security. Interpreting systems metrics to diagnose and resolve problems, leveraging strong analytical and problem-solving skills. Collaborating with cross-functional teams in an Agile (Scrum/Jira) fast-paced environment, demonstrating strong communication and problem-solving skills.

Requirements

Ability to Obtain and Maintain a Secret Level Security Clearance
US Citizenship is required due to system access
Strong experience in SQL
Strong experience with SQL Server development including stored procedures, views, table design, permissions
Experience with CI/CD, and Gitlab capabilities in a data environment
Experience with Python focused on data transformation and data movement
Experience with Data Lakes, Data warehouses and Big Data environments
Experience with JDBC, ODBC, Connectors, API based access, and REST API calls
Experience with data modeling, data structures, databases, and ETL tools (DataStage, NIFI, etc)
Ability to understand business needs and translate them into technical requirements

Nice To Haves

Experience with data management and analytics, with IBM Cloud Pak for Data (CP4D) and/or equivalent products like IBM Knowledge Catalog, Data Virtualization, DataStage and Cognos
Experience with DB2 or other relational database (Oracle, SQL Server, Postgres etc..)
Experience with data visualization tools such as Tableau, Power BI, IBM Cognos
Experience with data virtualization tools such as Tibco Data Virtualization (Tibco DV)
Experience with AWS cloud and core services: S3, IAM, Lambda, EMR, EC2, RDS, VPC, Storage, etc

Responsibilities

Working with stakeholders, architects, and internal customers to build and maintain data models and database driven tools that accelerate our business processes
Create ETL pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis.
Design and implement data solutions by defining functional capabilities, security, back-up and recovery specifications.
Formulating functional and technical requirements from business problems
Design digital thread solutions that treat data as an asset that can easily move between systems.
Architecting application landscapes and solutions for deployment within Lockheed Martin, leveraging expertise in IBM CloudPak (CP4D) Services architecture and security.
Interpreting systems metrics to diagnose and resolve problems, leveraging strong analytical and problem-solving skills.
Collaborating with cross-functional teams in an Agile (Scrum/Jira) fast-paced environment, demonstrating strong communication and problem-solving skills.