Skill Required:
Must Haves:
- Exp with D&A domain - 6yrs
- Azure specific & not AWS over here
- Pandas, Scikit-Learn, Matplotlib, Tensor Flow, Jupiter and other Python data tools - 4yrs
- Spark (Scala and PySpark)
- SQL and NoSQL storage tools
- Detailed knowledge of the Microsoft Azure tooling for large-scale data processing
- Azure Data Factory, Dataflow, Data bricks, Python, Synapse, Building Data Pipelines
Good to Have:
- Kafka and other high-volume data tools
- Event Hub / IOT, Azure Kubernetes Service (AKS), APIM, Network Design, Hadoop
Essential Job Duties & Responsibilities:
- Understanding in depth both the business and technical problems, Data Works aims to solve
- Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
- Scaling up from laptop-scale to cluster scale problems, in terms of both infrastructure and problem structure and technique
- Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
- Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
- Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems
Skill/Knowledge Considered a plus:
- Technical background in computer science, software engineering, database systems, distributed systems
- Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties
- Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred
- A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an expert hacker to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An engineering mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
- Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
- Use of agile and devops practices for project and software management including continuous integration and continuous delivery
- Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), HDFS, Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, Cassandra, MongoDB and Elasticsearch
- Pandas, Scikit-Learn, Matplotlib, Tensor Flow, Jupiter and other Python data tools
- Azure/MARS
Minimum Qualifications
- 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.
