Apache Cassandra, Apache Kafka, Azure, Continuous Integration & Continuous Delivery - CI/CD, HDFS, Jupyter Notebook, matplotlib, MongoDB, MySQL, NoSQL, Pandas, Postgres, PySpark, Scala Programming, Scikit-learn, SQL, TensorFlow
Duties for this role include but not limited to: supporting the design, build, test and maintain data pipelines at big data scale. Assists with updating data from multiple data sources. Work on batch processing of collected data and match its format to the stored data, make sure that the data is ready to be processed and analyzed. Assisting with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and provide L3 support. Implementing parsers, validators, transformers and correlators to reformat, update and enhance the data. Provides recommendations to highly complex problems. Providing guidance to those in less senior positions.
Additional Job Description:
Data Engineers play a pivotal role within Dataworks, focused on creating and driving engineering innovation and facilitating the delivery of key business initiatives. Acting as a “universal translator” between IT, business, software engineers and data scientists, data engineers collaborate across multi-disciplinary teams to deliver value. Data Engineers will work on those aspects of the Dataworks platform that govern the ingestion, transformation, and pipelining of data assets, both to end users within FedEx and into data products and services that may be externally facing. Day-to-day, they will be deeply involved in code reviews and large-scale deployments.
Essential Job Duties & Responsibilities
Skill/Knowledge Considered a Plus
Minimum Qualifications:
Data Engineer I:
Bachelor’s Degree in Information Systems, Computer Science or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience. Basic knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Basic knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Experience as a junior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Sponsorship is not available for Data Engineer I role.
Data Engineer II:
Bachelor's Degree in Computer Science, Information Systems, a related quantitative field such as Engineering or Mathematics or equivalent formal training or work experience. Two (2) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Strong knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Strong knowledge in Information Systems including design, development
and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience as a member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Sponsorship is not available for Data Engineer II role.
Data Engineer III:
Bachelor’s Degree in Information Systems, Computer Science or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience. Five (5) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Data Engineer Lead:
Bachelor’s Degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience. Seven (7) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Domicile / Relocation Information:
This position can be domiciled anywhere in the United States.
Application Criteria:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire.
Additional Information
Colorado, Nevada, Connecticut, New York, California, Rhode Island, Washington, Hawaii, Illinois and New Jersey Residents Only - Compensation: Monthly Salary: $5,493.00 - $14,021.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.
We are creating opportunities for FedEx, our customers, and the world at large by:
Exploring and harnessing data to define and solve true problems;
Removing barriers between data sets to create new avenues of insight;
Building and iterating on solutions that generate value;
Acting as a change agent to advance curiosity and performance.
At FedEx Dataworks, we are making supply chains work smarter for everyone.
Employee Benefits: medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.
FedEx Corporation, formerly Federal Express Corporation and later FDX Corporation, is an American multinational delivery services company headquartered in Memphis, Tennessee.
Petaling Jaya, Selangor, Malaysia
8-10 year