Data Engineering in Financial Services

Position: Data Engineering Role in Financial Services
Shape the future of data at Sun Life as a Senior Data Engineer, focusing on AWS and Snowflake environments. Innovate and collaborate to elevate client-centric analytics.

In this senior role at Sun Life, you will be instrumental in developing data-driven insights within the Client Experience Office. Leveraging your strong data engineering background, you will work closely with analysts and stakeholders to create robust data products. Your work will directly contribute to identifying trends that optimize client engagement and sales strategies.

Key Responsibilities:

• Engineer data models for business insights on clients, products, and advisors

• Ensure data integrity and quality across multiple sources

• Translate complex business requirements into actionable data flows

• Engage with Data Science teams to launch data initiatives

• Curate standardized metadata documentation for informed decision-making

Requirements:

• 3-5 years in major Cloud technologies

• Proficient in SQL, Python, and Pyspark

• Experience with AWS and Snowflake ETL processes

• Familiar with data management and governance principles

• Excellent verbal and written communication skills

Contribute to meaningful analytics and client satisfaction through innovative data engineering at Sun Life.
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