Lead, Data Engineer - Contractor

Job Description

This Role is in Plantation FL or Remote (US based only) *EST/CST preferred* 

A critical role of Magic Leap's Business Technology (BT) solutions teams, Lead Data Engineering  will support data warehouse, data analysis initiatives and ensure optimal data and information delivery architecture to support ongoing projects. The incumbent must be self-directed and comfortable supporting the data engineering and Business intelligence needs of multiple teams, systems and products. You will be reforming the company’s data architecture to support our next generation of products and data initiatives. In addition, this role will evaluate new or existing programs, maintenance, improvement, and support the business application solutions for internal business functions, which are based on the requirements and needs of such a client base.

Responsibilities:

• Create and maintain optimal data pipeline architecture
• Integrate large, complex data sets that meet business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Evaluate/Review/Implement/Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources
• Work with stakeholders at multiple levels to assist with data-related technical issues and support their data infrastructure needs
• Support data analysis tools used by multiple business intelligence resources throughout the organization
• Work with data and analytics experts to strive for greater functionality in the data ecosystem
• Work with cross functional teams and key end users to identify and document key requirements
• Active participation in team scrum activities and agile deployments
• Troubleshoot complex configuration, network and data quality issues.

Qualifications:

• Advanced working SQL knowledge and experience working with relational databases and working familiarity with a variety of databases
• Experience implementing and supporting cloud based data analytics tools in a scalable architecture
• Experience building and optimizing big data pipelines, architectures, and data sets
• Experience performing root cause analysis on internal & external data and processes and identify opportunities for improvement.
• Hands-on experience with the Google Cloud Platform and GCP certification (Cloud Architect/ Data Engineer)
• Ability to translate requirements into logical data models and hands on experience with modeling tools (entity relationship models)
• Ability to produce DDL from proposed data models
• Strong analytic skills related to working with both structured and unstructured datasets
• Hands on experience with Tableau or similar analytic dashboarding tools
• Build processes supporting data transformation, data structures, metadata, governance, and workload management
• Experience supporting and working with cross-functional teams in a dynamic environment
• Excellent communication, written and verbal skills
• Experience with SAP ERP business process models, core modules and data elements
• Working knowledge of Salesforce CRM and marketing prospect data elements
• Previous experience integrating SAP ERP, ARIBA, Concur, Success Factors, datasets into an integrated cloud DWH technology stack
• Familiar with Kubernetes VM server OS and networking concepts.
• Familiar with CICD code repo tools and infrastructure as code deployments
• Experience working in an agile environment working actively with onshore and offshore team members and in different time zones.

Education:

• Education and/or Experience: Bachelor's degree (B.A.) from four-year college or university in Engineering, Information Systems, Statistics, Informatics, Computer Science or another quantitative field with 6+ years of experience in a Data Engineering role.

Additional Information

• All your information will be kept confidential according to Equal Employment Opportunities guidelines.