Data Engineer, Analytics & Cognitive - Consultant (SQL/

Data Engineer, Analytics & Cognitive - Consultant (SQL/

18 May 2021
Colorado, Denver, 80012 Denver USA

Data Engineer, Analytics & Cognitive - Consultant (SQL/

Vacancy expired!

The Team

Analytics & Cognitive
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Analytics & Cognitive will work with our clients to:
• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required:
  • 2+ years of relevant technology consulting or industry experience to include experience in Information delivery, Analytics and Business Intelligence based on data
  • 1+ year experience in Python and/or R
  • 1+ year experience SQL
  • 1+ year of hands on experience with data core modernization and data ingestion.
  • Bachelor's Degree or equivalent professional experience
  • Travel up 50% (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice
  • Limited immigration sponsorship may be available.

Preferred:
  • Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform)
  • Experience with PySpark, Spark, Scala
  • Experience leading workstreams or small teams
  • Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes.
  • Experience designing and implementing reporting and visualization for unstructured and structured data sets
  • Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
  • Knowledge of data, master data and metadata related standards, processes and technology
  • Experience working with multi-Terabyte data sets
  • Experience with Data Integration on traditional and Hadoop environments
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
  • An advanced degree in the area of specialization is preferred.

For individuals assigned and/or hired to work in Colorado, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the State of Colorado and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and delivery model. We would not anticipate that the individual hired into this role would land at or near the top end of the range, but such a decision will be dependent on the facts and circumstances of each case. A reasonable estimate of the range is $85,000 - $120,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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