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    Data Engineer T500-7472 - Hyderabad, India - FedEx ACC

    FedEx ACC
    FedEx ACC Hyderabad, India

    Found in: Appcast Linkedin IN C2 - 17 hours ago

    Default job background
    Transportation / Logistics
    Description

    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.
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