This job is now closed
Job Description
- Req#: JR00084296
Develop deep understanding of enterprise data, to enable end-to-end solutions
Design and engineer data models with key financial business metrics (eg. Expenses, FTE, Sales)
Maintain high level of data quality and integrity across data sources
Convert complex business and technical rules into logic for data flows and data pipelines
Collaborate with stakeholders and design data solutions for various use cases
Standardize metadata into a common glossary with the necessary documentation
1-3 years hands-on experience working on AWS technologies for data processing and analytics
AWS Lambda, Glue, SQS, SNS, Cloudwatch or other Cloud technologies
Python, Pyspark and SQL
Proven track record in leveraging SQL and SQL-based programming to solve business problems
Design and implement data models, schemas, and structures to support analytical and reporting needs
Sound understanding of data management principles (data warehousing, quality, master data management, etc.)
Ensure feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.
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 production-grade data products
Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models for consumption
Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
Graduate degree in business or quantitative science strongly preferred
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 )
Competitive salary and bonus structure influenced by market range data
20 days vacation per year and an innovative sabbatical program
Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid
A friendly, collaborative and inclusive culture
Being part of our Analytics community, where we share best practices and broaden skill-sets
Flexible Benefits from the day you join to meet the needs of you and your family
Pension, stock and savings programs to help build and enhance your future financial security
Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
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:
Role Summary:
Come be part of an exciting and challenging opportunity by helping to accelerate the growth and application of data analytics capabilities at Sun Life Canada. As part of the Canada Finance Reporting Centre of Excellence, you will have the opportunity to be at the forefront of applying data and analytics to transform our financial reporting processes. You will be helping Sun Life use analytics to deliver on our purpose of helping our Clients achieve lifetime financial security and live healthier lives.
As a Senior Data Engineer on the Canada Finance Reporting COE, your focus will be working with a team of financial professionals to build out a robust data environment to enable a suite of impactful business intelligence products and solutions to support financial operations within Canada. These products and services will allow Sun Life Canada’s Finance leaders to better analyze financial drivers and make data driven decisions.
What will you do?
What do you need to succeed?
Code and tools
Data Modelling
Problem Solving
Education and Qualifications:
Unique Requirements
What's In It For You?
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 thebrightside@sunlife.com .
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:
76,000/76 000 - 125,000/125 000Job Category:
Advanced AnalyticsPosting End Date:
15/10/2023About the company
Sun Life Financial Inc. is a Canadian financial services company.
Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.
Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.
An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report. NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.