Senior Data Engineer
City : Toronto
Category : Full-time
Industry : Finance
Employer : Sun Life Financial
Vous êtes unique, comme le sont votre parcours, votre expérience et votre façon de voir les choses. Ici, on vous encourage et on vous motive à donner le meilleur de vous-même, et on vous donne les moyens de le faire. Vous travaillerez avec des collègues dynamiques – experts dans leur domaine – qui sont impatients de partager leurs connaissances avec vous. Vous aurez des gestionnaires inspirants qui vous aideront à développer votre potentiel et à atteindre de nouveaux sommets. Chaque jour, vous aurez de nouvelles occasions de rendre la vie de nos Clients plus radieuse – ils sont au cœur de tout ce que nous faisons. Découvrez comment vous pouvez faire une différence dans la vie des gens, des familles, des collectivités – ici et partout dans le monde.
Description de poste:
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
3+ years experience with AWS Glue for ETL, Glue Catalog, Glue Data Quality, AWS Step Functions, AWS Lambda, AWS Athena
Experience in AWS CLI, Identity & Access Management (IAM) and BI Tools like Tableau and Quicksight is a definite plus.
3 years experience in Python, Pyspark and SQL
Demonstrated experience in performance tuning of Spark jobs
5 years hands-on experience with relational database systems, relational models, dimensional models, and analytical models
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.) and Data Governance principles. Sound understanding of data modelling and a passion for analytics
Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products
Experience of popular data formats like Parquet, Iceberg is a definite plus.
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
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?
We are proud to be on the 2024 Best Workplaces in Canada list by Great Place to Work.
We’re also listed as one of the Best Workplaces for Women and Best Workplaces with Most Trusted Executive Teams.
In 2024, Sun Life ranked among the top 100 most sustainable global corporations by Corporate Knights for the 15th consecutive year, leading Canadian insurers.
A caring, supportive, and inclusive culture
Flexible Benefits from the day you join to meet the needs of you and your family
Time off giving you the flexibility to focus on the moments that matter. 20 days vacation per year.
Care Days available for self-care or care of others (i.e., family or others you may support) and Sick Days to support your well-being.
L’échelle du salaire de base est pour l’emplacement principal du poste affiché. Elle peut varier selon l’emplacement du candidat sélectionné et d’autres facteurs. En plus du salaire de base, les employés admissibles de la Financière Sun Life participent à différents programmes de rémunération incitative, dont le montant octroyé est discrétionnaire et dépend du rendement de l’employé et de la compagnie. Certains postes de vente participent à des programmes de rémunération incitative basés sur les résultats de vente individuels ou de groupe.
Depuis toujours, la diversité et l'intégration sont au cœur des valeurs de la Financière Sun Life. Nous croyons qu'un effectif diversifié ayant des points de vue variés et des idées créatives est avantageux pour nos clients, pour les collectivités où nous exerçons nos activités, ainsi que pour nous tous, en tant que collègues. Nous accueillons avec enthousiasme les candidatures de personnes compétentes provenant de tous les horizons.
Les personnes handicapées ayant besoin de mesures d'adaptation pour présenter leur candidature et celles qui doivent consulter les offres d'emploi sur un support de substitution peuvent envoyer leur demande par courriel à l'adresse ‘thebrightside@sunlife.com’.
À la Sun Life, nous voulons créer un environnement de travail flexible où nos employés sont outillés pour donner le meilleur d’eux-mêmes. Nous offrons plusieurs options de travail flexibles selon les exigences du poste et les besoins individuels. N’hésitez pas à en discuter pendant le processus de sélection.
Nous remercions tous les candidats de l'intérêt manifesté pour ce poste. Nous ne communiquerons qu'avec les personnes qui auront été retenues pour passer une entrevue.
Échelle salariale:
78,000/78 000 - 128,000/128 000Catégorie d'emploi:
Advanced AnalyticsFin de l'affichage:
08/12/2024