Data Engineering Specialist

November 11 2024
Industries Consulting services
Categories Data analyst, BI, Mining, AI,
Toronto, ON • Full time

Job Description

We are:
The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients' transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions

Stronger together!
The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients' business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people
For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges.

WORK YOU'LL DO

Analyze large and complex datasets to extract actionable insights and identify trends.

  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design experiments and interpret results to test hypotheses and validate models.
  • Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
  • Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
  • Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
  • Design and implement data models using programming languages, such as SQL, NoSQL, Python, Scala
  • Monitor data systems performance and implement optimization strategies. Test, debug, analyze and fixe application problems/issues while working in close collaboration with stakeholders.
  • Work with the project manager, architects, and other team members to define metrics and performance goals for the application.
  • Participate in transitioning the requirements and use cases to ensure a clear and complete understanding of the requirements.
  • Assist in translating requirements and use cases into test conditions and expected results for product, performance, and user acceptance testing.
  • Participate in quality management reviews, in particular reviews of the designs, and requirements work products to ensure they fulfill the requirements

Qualifications

  • Minimum 5+ years of experience with Azure, Databricks, SQL, Pyspark, ADF and Python.
  • Experience in managing design, implementing, and managing cloud-based systems for businesses and debugging.
  • Experience in managing the entire software development life cycle, including planning, designing, testing, and deploying applications
  • Bachelor's degree or equivalent experience
<
Apply now!

Similar offers

Searching...
No similar offer found.
An error has occured, try again later.