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DataOps Engineer, Omnia AI

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Date Posted: Oct 23, 2019

Reference Code: 47811-en_US

Job Type: Permanent 
Primary Location: Toronto, Ontario, Canada 
All Available Locations: Toronto 

Learn from deep subject matter experts through mentoring and on the job coaching.
Partner with clients to solve their most complex problems.
Be empowered to lead and have impact with clients, our communities and in the office.
 

 

You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

What will your typical day look like?

Be encouraged to deepen your technical skills in Data Engineering on Cloud and Big Data platforms. Be part of a firm that leads the way and pushes themselves to look like contemporary Canada. Be expected to share your ideas and make them a reality.

DataOps Engineer is passionate about efficient, repeatable and agile delivery of analytics solutions, is curious to learn about new approaches and techniques, and keeps up with market evolution. In this role on our Data & Analytics Modernization team within the Omnia AI practice, you will play an active role throughout the entire engagement cycle – from architecture and design to build, test and deploy – specializing in rapid deployment of data pipelines and analytics solutions, including orchestration, automated testing and quality control, continuous integration/deployments, versioning and environment management. You will work closely in cooperation with data scientists, data engineers, report / dashboard builders and business analysts to serve up the right data, at the right time, in the right format to create business insights at speed. 

Specifically, in this role, you will:

  • Architect, containerize and orchestrate data pipelines and analytics solutions that enable business analysis and drive insights
  • Configure, administer and manage the DevOps eco system and environments, including code and artifact storage and versioning, parametrization and secure key storage, distributed computing, deployment automation and (test) data virtualization, masking and provisioning.
  • Plan/schedule tasks, lead DataOps teams, and apply lessons learned from the trenches
  • Lead technical meetings with client staff, and help advise clients with technical option analyses based on leading practices
About the team

Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

Our Data & Analytics Modernization team helps clients design and implement DevOps practices – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Cloud Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes and unprecedented insights.

 

Enough about us, let’s talk about you

You are someone with:

  • 5+ years experience building, maintaining and orchestrating Big Data pipelines and analytics solutions in an enterprise setting using Agile development approaches
  • 3+ years experience in continuous integration and automated deployment processes using (one or more) Git, Jenkins, Docker, Kubernetes, or similar tools
  • 3+ years experience in test data management, test data and environment provisioning, data masking and test automation, including working with Hadoop using Java, Sqoop, Kafka, Spark, Python, or other relevant Big Data technologies on Azure, AWS or Google platforms
  • Ability to work in environments with significant ambiguity, can develop creative approaches to data problems, and is curious and enthusiastic about data in the context of business and industry implications
  • Completed BA/BSc or MA/MSc degree in Applied Mathematics, Statistics, Epidemiology, Computer Science, Engineering or related field

If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

Why Deloitte?

Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

  • You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
  • You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
  • You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.


The next step is yours

Sound like The One Firm. For You?

At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities!  We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

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