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Job Description Description: Designing, developing, and optimizing Azure Data Factory and Databricks pipelines from Oracle databases to Lakehouses Designing and optimizing data models using Medallion Architecture principles Designing, developing and optimizing data connections from Databricks Medallion Architecture to on-premises data sources for downstream consumers. Designing and optimizing relational data models Translating Informatica ETL to Azure Data Factory and Databricks ELT Knowledge Transfer: Transfer From DataOps/Cloud Data Engineer to Designated CSC Resource When Knowledge Will Be Transferred: Knowledge transfer must be completed one week prior to the end of the project or one week prior to the consultant leaving the ministry. What Knowledge Will Be Transferred: All deliverables, including design/supporting/release/training documents must be checked into designated version control repositories (for example, git repositories or SharePoint). All final documents and working drafts related to project requirements or solution design must be stored on designated project repositories (for example, SharePoint site, HPQC, TFS, etc.) Project manager and designated ministry staff must be regularly informed in writing (by email) of where documentation has been stored and must be provided a minimum of one walk-through of all documentation as part of the final knowledge transfer activities. How Knowledge Will Be Transferred: Knowledge will be transferred through 1 on 1 sessions, emails, document updates and document review with the team. Requirements Experience and Skill Set Requirements: Must Haves: Experience developing ETL processes with Informatica, Azure Data Factory and Databricks (Python, Lakeflow, and SQL Optimization) Experience with solution development with Databricks in Medallion Architecture. Experience with Cloud data engineer must be familiar and experienced with Location Toronto , ON Work location On site Salary $ 101.00 DAY daily Terms of employment Full time Starts as soon as possible vacancies 1 vacancy Source Talent.com #634357448526660097 Various locations Toronto, ON
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.