Deloitte | Data Engineer | San Jose, CA | United States | BigDataKB.com | 23 Oct 2022

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Job Location: San Jose, CA

Are you an experienced, passionate pioneer in technology? An industry solutions professional who wants to work in a collaborative environment. As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. PDM practitioners are local to project locations, minimizing extensive travel, and provides you with a full career path within the firm.

Work you’ll do/Responsibilities

  • Assemble and manage large, complex sets of data that meet non-functional and functional business requirements
  • Design and evolve data models and data schema based on business and engineering needs
  • Build and support ETL pipelines using tools like Hive, Airflow, Flyte, and SQL technologies
  • Implement systems to track data quality and consistency
  • Build analytical tools that provide insight into key performance metrics
  • Work with stakeholders across science, engineering, data infrastructure, product, and our leadership, driving resolving data-related technical problems

The Team

As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data Operations offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.

Qualifications

Required

  • Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • 3+ years of experience in software engineering, ideally with a focus on Data Engineering/Architecture
  • Expert level skills and hands on in SQL / Python
  • Assemble and manage large, complex sets of data that meet non-functional and functional business requirements
  • Design and evolve data models and data schema based on business and engineering
  • Limited immigration sponsorship may be available
  • Role is remote

Preferred

  • Ability to work with complex production-quality software
  • Technical expertise in data infrastructure, cloud computing, storage systems, and distributed computing frameworks in multi-petabyte scale systems
  • Knowledge of modern data/computing infrastructure and frameworks.
  • Today we use S3, DynamoDB, Kafka, Elastic search, Spark, Flyte, Stackdriver, and SageMaker. We do not expect you to know them all but would like for you to be familiar with some




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