Data Engineer t500-7472

2 weeks ago

Hyderabad, Telangana, India Fedex Acc Full time

Skill Required:

Must Haves:
Exp with D&A domain - 3yrs
Azure specific & not AWS over here
Pandas, Scikit-Learn, Matplotlib, Tensor Flow, Jupyter and other Python data tools - 2yrs
Spark (Scala and Py Spark), SQL and No SQL storage tools
Azure tooling for large-scale data processing - 1yr+
Azure Data Factory, Data Flow, 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, 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 Fed Ex (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 Py Spark), HDFS, Kafka and other high-volume data tools
SQL and No SQL storage tools, such as My SQL, Postgres, Cassandra, Mongo DB and Elastic Search
Pandas, Scikit-Learn, Matplotlib, Tensor Flow, 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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