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Deloitte Data Engineering Consultant - Senior Solution Specialist in Lake Mary, Florida

Analytics and Cognitive Data Engineering Consultant - USDC

Are you an experienced, passionate pioneer in technology a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center we are breaking the mold of a typical Delivery Center.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below

The Team

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

Work you ll do/Responsibilities

Qualifications

Required

Bachelor s Degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Information Technology or related discipline

3 years of experience with data engineering with emphasis on data analytics and reporting initiatives

1 years of hands on experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Extensive data design, data pipelining and data modeling expertise

Expert level SQL skills and knowledge relational database engineering

Experience hands on working with Big data technologies; MapReduce, Pig, Hive, HBase, Sqoop, Spark, Flume, YARN, Kafka, Storm etc.

Experience to include Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses.

Must be willing to live and work in one of our Center locations:

Gilbert, AZ (Phoenix area)

Mechanicsburg, PA (Harrisburg area)

Lake Mary, FL (Orlando area)

Must be a U.S. Citizen or Green Card

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Additional Requirements

  • AWS Certification, Hadoop Certification or Spark Certification.

  • Experience designing and implementing reporting and visualization for unstructured and structured data sets.

  • Experience in designing and implementing scalable, distributed systems leveraging cloud computing technologies like AWS EC2, AWS Elastic Map Reduce and Microsoft Azure.

  • 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.

  • Ability to work independently, manage small engagements or parts of large engagements.

  • An advanced degree in the area of specialization is preferred.

How you ll grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.

Deloitte s culture

Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives.

Corporate citizenship

Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte s impact on the world. at http://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-corporate-citizenship.html

Recruiter tips

We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you re applying to. Check out recruiting tips from Deloitte professionals. at http://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html

Code:SKLB019

Good understanding of NoSQL and relational databases and database fundamentals, including data storage, data modeling, and data access patterns

Programing experience in Java/Python/JavaScript

Experience with converting application code and databases to modern languages and structures

Experience working in public cloud environment is a plus

Qualifications:

BS in Computer Science, Engineering, MIS or similar relevant field

Familiar using Linux Operating Systems

Excellent written and verbal communication and interpersonal skills

Analytical thinker with problem solving aptitude

Experience working with Agile team environment

DHS/ CBP Clearable (Public Trust)

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Category: Management Consulting

About Deloitte

As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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