Lead Data Engineer

6 hours ago

Kitchener, Ontario, Canada Manulife Full time
The Opportunity

We are seeking a highly skilled Lead Data Engineer to join our Canada Data Office at Manulife. As a key member of our team, you will be responsible for designing, building, and maintaining our Azure data pipelines for various analytical use cases, including AI/ML/BI/GEN AI and reporting.

Responsibilities
  • Collaborate with business and advanced analytics partners to gain a deep understanding of data and design connected data sets that enable users to self-serve.
  • Lead the development and maintenance of our Azure applications in production, ensuring they run within SLA and are robust and secure.
  • Propose technology improvements and innovative solutions to solve business problems.
  • Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
  • Lead, mentor, and guide data engineers to promote a customer-first approach.
  • Automate infrastructure provisioning and deployment using tools such as Terraform.
  • Implement CI/CD pipelines that enable automated code deployment.
  • Participate in Agile sprints and ceremonies, supporting rapid iteration and development.
  • Maintain the inventory of critical data elements and lineage.
  • Cultivate and maintain strong relationships and foster collaboration with various teams and partners within the organization.
What Motivates You?
  • You are passionate about customers, listening, engaging, and acting for their benefit.
  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
  • You thrive in teams and enjoy getting things done together.
  • You take ownership and build solutions, focusing on what matters.
  • You do what is right, work with integrity, and speak up.
  • You share your humanity, helping us build a diverse and inclusive work environment for everyone.
What We Are Looking For
  • Bachelor's in computer/IT or data-related fields required; Master's degree is a plus.
  • 10+ years of previous data engineering experience, with 5+ years of experience working in enabling Azure-related data technologies.
  • Solid understanding of Azure infrastructure, including subscriptions, resource groups, resources, access control with RBAC, integrations with Azure AD, and Azure security principles.
  • Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL, along with experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
  • High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
  • Knowledge of implementing Azure technologies and networking via Terraform, along with the ability to fix issues with Azure infrastructure in production.
  • Good understanding of data modeling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
  • Solid understanding of data privacy and compliance regulations and standard methodologies for preserving customer data.
What Can We Offer You?
  • A competitive salary and benefits package.
  • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
  • A focus on growing your career path with us.
  • Flexible work policies and strong work-life balance.
  • Professional development and leadership opportunities.
Our Commitment to You
  • Values-first culture: We lead with our Values every day and bring them to life together.
  • Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
  • Continuous innovation: We invite you to help redefine the future of financial services.
  • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
  • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

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