Data Engineer [T500-7472]

Skill Required:

Must Haves:

• Exp with D&A domain - 3yrs
• Azure specific & not AWS over here
• Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools - 2yrs
• Spark (Scala and PySpark), SQL and NoSQL storage tools
• Azure tooling for large-scale data processing - 1yr+
• Azure Data Factory, DataFlow, Databricks, Python, Synapse, Building Data Pipelines - 1yr+

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, DataWorks 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, TensorFlow, Jupyter 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.