Int. Azure Data Engineer with Python, Databricks and ADF experience to operationalize ingested data for our insurance client

Int. Azure Data Engineer with Python, Databricks and ADF experience to operationalize ingested data for our insurance client

Location: Hybrid (3 Days onsite in Toronto or London, ON)

Duration: 12 Months

Responsibilities:

•Ingests data from various sources internal and eternal to Canada Life.

•Operationalizes ingested data and ensures end to end delivery of data from source to destination

•Installs, configures and integrates software components and third-party software platforms, software products, tools and solutions

•Delivers fixes and improvements to existing products, maintains environments and versions, adhering to standards and compile versions

•Facilitates and actively participates in meetings, walkthroughs and reviews of platform related deliverables

•Ensures technical responsibility over assigned software products, platforms and codebases

•Analyzes current products and platforms, produces or contributes to the design documentation and technical specifications for installations/upgrades

•Applies data engineering patterns to identify and troubleshoot problems, requiring analysis and exploration of options, recommending solutions or preparing discussion for escalation

•Conduct system support and change management activities

•Delivers clean and efficient data ingestions, changes and fixes, ensuring quality and accuracy of data delivery, platforms, products and applications

•Tests and deploys software products and fixes defects

•Creates and maintain compliance deliverables like test documentation, reviews etc. as required

Must Haves:

• 4+ years experience as an Azure Data Engineer
• Databricks
• Data Factory
• Python
• Experience/Willingness to perform on-call production support (Rotational)