Sr. Data Engineer

• Research and develop Data Ingestion pipelines.

• Drive adoption of cloud-based data ingestion systems into next-generation of FedEx Solutions

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

• Build prototypes of learning solutions to show proof-of-concepts and develop scalable integrated enterprise services.

• Design, develop, implement, test intelligent application solutions and in a PaaS environment.

• Strong communication skills both written and verbal.

• Contribute to a positive culture of continuous improvement and operational excellence by identifying and implementing process improvements where appropriate.

• Skills & Experience Minimum Qualifications:

• Bachelor's Degree or equivalent in Computer Science, Engineering, Information Systems, and

• overall 8 +Years of IT experience or related field and 6 years of relevant experience.

• In-depth knowledge of database structures/ data warehousing principles, and experience in SQL across different platforms including structured and unstructured data from various enterprise sources.

• Work with internal and external subject matter experts to select relevant source of information and explore abundance of data available in FedEx to identify and solve business problems.

• Ability to manipulate and analyze data with a scientific approach in order to determine the best and most optimal solution.

• Collaborates with cross-functional teams to understand the business problem, gather business requirements, supporting data and with/without guidance of leadership, help stakeholders/partners understand the business and scientific principles behind the process to gain their buy-in.

• Proficiency with data integration tools such as Ab Initio, Azure Data Factory and cloud infrastructure like Azure or Oracle Cloud.

• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores and experience with building and optimizing 'big data' data pipelines, architectures, and data sets.

• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

• Initiative and passion for finding solutions to ambiguous problems and ability to work in difficult situations and across organizational boundaries.

• Strong communication skills both written and verbal, with ability to communicate or convey the results to audience at all levels.

FedEx