Lead Data Engineer

Job expired!

Join Our Trailblazing Team as a Lead Data Engineer

You are as unique as your background, experience, and point of view. At Sun Life, you’ll be encouraged, empowered, and challenged to be your best self. You'll work alongside dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. 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. Join us and discover how you can make a difference in the lives of individuals, families, and communities around the world.

Job Description

We are currently seeking an experienced and high-performing individual to join our team as a Lead Data Engineer. This senior technical leadership role is crucial for designing, building, deploying, and supporting data integration for BI reporting, analytic solutions, and application integration solutions using Python, AWS Glue, and other supporting tools and services. Our Delivery team is involved in exciting projects using leading-edge technologies, leveraging our AWS Cloud-based data platform for advanced analytics and data science.

Key Responsibilities:

  • Provide coding and design leadership in the construction and maintenance of robust and efficient data applications and reusable frameworks.
  • Develop data pipelines in an AWS Cloud environment using Python and AWS Glue (PySpark) technology.
  • Mentor and guide other data developers across various locations, ensuring all code follows applicable standards and is efficient and maintainable.
  • Translate requirements into detailed functional and technical designs using architecturally approved technology.
  • Deliver solutions according to the Systems Development Life Cycle (SDLC) methodology, tailored for both waterfall and agile projects.

Requirements:

  • 7 to 10 years experience developing solutions for data warehouse loads and system integrations using ETL tools.
  • Minimum 2 years experience developing data pipelines using AWS Glue.
  • Strong competency in SQL and Big Data tools. Experience with Python scripting, PySpark, Hive, HDFS, Tez, and Spark is preferred.
  • Proven ability in leading diverse teams and interfacing with technical teams.
  • Experience in an Agile work environment is essential.

Why Sun Life?

  • Recognized as a Great Place to Work® across multiple categories for consecutive years.
  • Flexible hybrid work model, competitive salary range of $82,000 to $135,000, and comprehensive benefits including pension, stock, and savings programs.
  • Dedicated to diversity and inclusion, fostering an environment where all employees can achieve their potential.

IMPORTANT: Candidates must be eligible to attain Reliability Status Clearance, requiring residency and employment in Canada for the previous 5 consecutive years.

Apply Today!

If you meet these qualifications and are ready to bring your expertise to a leading team, we encourage you to apply. The posting ends on 23/05/2024. Join us and make a difference at Sun Life where your work is valued and your impact is felt daily.

Diversity and inclusion are at the core of our values at Sun Life. We welcome applications from all qualified individuals, regardless of background. If you need accommodation during the application process, please email [email protected].

We thank all applicants for their interest; however, only those selected for an interview will be contacted.

Additional Information:

Company Name: Sun Life
Job Title: Lead Data Engineer
Job Category: IT - Technology Services
Salary Range: $82,000 to $135,000
Posting End Date: 23/05/2024