Data Ingestion Engineer

Work Style: Hybrid (3 days in office)

Location city(s): Toronto or London

Number of Openings: 2

Anticipated Start Date: 4 weeks from the official offer day

End Date: 3 months duration

Role Title: Data Ingestion Engineer

Reliability Clearance required: Yes, please submit only candidates who either hold a valid Reliability Clearance or are eligible to obtain one. Candidates who do not meet the required five-year residency requirement should not be submitted.

Any specific tools/skillset:

• IDMC Data pipelines, Informatica, MS Azure, Databricks, Python
• 5+ years of prior experience in data operations or development role (e-g ETL, Data Warehouse) with 2+ years of recent development experience in IDMC, MS-Azure and Data bricks
• Demonstrated experience in designing and implementing data ingestion systems using MS-Azure /Databricks
• Experience in Kafka, CI/CD and CDC tools preferred
• Solid programming experience with Python or SQL
• Experience in setting up monitoring and controls for MS Azure data pipelines (prior experience with Data warehousing/ other data technologies is accepted)
• Strong knowledge in service management including incident and change management procedures.

Skills and Attributes

• Problem-solving skills and the ability to trouble shoot complex issues.
• Contributing to positive team culture and promoting common goals, team success and business outcomes
• Valuing and appreciating different views and bring in collaborative approach to achieving consensus.
• Encourages inclusivity and a sense of unity within all operational areas of Canada Data team.

Role profile description:

As a Data Ingestion Engineer, you will join a dynamic and high-performing Canada Life Data team dedicated to providing Data and AI solutions by ensuring the robustness, scalability, and reliability of data ingestion systems within our organization. Your key focus will be on designing, implementing, and maintaining the pipelines necessary for efficient and seamless data ingestion from various sources into our data platforms. You will partner with cross functional teams, enterprise, and portfolio architects to enhance operational performance, trouble shoot issues, and implement best practices for data reliability.

Key Responsibilities

• Design, develop, test, and support end-to-end ingestion pipelines using Informatica IDMC in MS Azure data platform that supports the consumption of structured and unstructured data from various sources with the use of Azure Data Factory and Data Bricks
• Collaborate with cross functional teams to understand data requirements, design efficient data ingestion patterns and workflows.
• Implement and maintain controls and alerts to monitor data pipelines to proactively identify data related issues. Ensure data quality and integrity is maintained across the pipelines.
• Collaborate with support teams to triage incidents to quickly resolve major incidents, system outages or disruptions.
• Automate processes to support smooth operation of data pipelines to improve reliability, efficiency, scalability using the MS Azure tools.
• Conduct performance and capacity assessments, identify bottlenecks, and develop plans to improve performance, and reduce operational cost.
• Focused on implementing data governance and compliance controls, and security measure to protect sensitive data.
• Apply best practices for creation and maintenance of data pipelines including scalability, reusability, and reliability.
• Document system configurations, processes and troubleshooting procedures.