Senior Data Engineer

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

Role Summary:

The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

What will you do?

• Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value
• Design and engineer data models that represent our key business entities such as our Advisor, Client & Product
• Ensure high level of data quality and data integrity are maintained across data sources for business
• Convert complex business and technical rules into logic for data flows and data pipelines
• Work with our Data Science teams to implement data products for various use cases
• Collaborate with stakeholders and incorporate into solution design for various use case requirements
• Standardize metadata into a common glossary along with the necessary documentation for data consumers
  
  

What do you need to succeed?

• 3-5 years hands-on experience working on AWS technologies for data processing and analytics
• 2+ years experience with AWS Glue for ETL
• 3 years experience in Pyspark and SQL
• 5 years hands-on experience with relational database systems, relational models, dimensional models etc.
• 3-5 years experience with engineering data products as input to various analytical models
• 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.
• Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)
• Sound understanding of data modelling and a passion for analytics
• Proven track record in leveraging SQL and SQL-based programming to solve business problems
• Ability to translate complex business requirements into a set of data ingestion pseudocode
• Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products
• Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume
• Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data
  
  

Education and Qualifications:

• Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
• Graduate degree in business or quantitative science strongly preferred
  
  

Unique Requirements

• The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
• To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
  
  

What would be nice to have?

• Understand and Embrace Agile Operating Model
• Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects
• Experience working in a large financial services organization
• Knowledge of fundamental statistical models & techniques
  
  

What's In It For You?

• Great Place to Work® Certified in Canada and the US - 2022
• Great Place to Work® award for Best Workplaces for #HybridWork - 2022
• Named “Best Places to Work” by Glassdoor - 2021
• Canada Award for Excellence for Mental Health at Work - 2021
• Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. ,
• Competitive salary and bonus structure influenced by market range data
• Pension, stock and savings programs to help build and enhance your future financial security
• A friendly, collaborative, and inclusive culture
• Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
• Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives
  
  

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to [email protected].

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

74,100/74 100 - 120,800/120 800

Job Category:

Advanced Analytics

Posting End Date:

30/07/2023