At a Glance
- Tasks: Lead the development of innovative data solutions using Azure technologies.
- Company: Join a leading financial services group committed to diversity and innovation.
- Benefits: Competitive salary, flexible work policies, and professional development opportunities.
- Other info: Embrace a values-first culture with boundless opportunities for growth.
- Why this job: Make a real impact in a collaborative team focused on customer success.
- Qualifications: 5 years of Azure Data Engineering experience and strong ETL skills.
The predicted salary is between 123750 - 151250 $ per year.
We are seeking a Senior Data Engineer - Azure to our team who will be able to bring their unique ideas, viewpoints, and technical experience. The role will collaborate with Architects, Engineers, and Business partners to define solution design for new projects and ongoing design modifications that may be required for ongoing optimization of the overall ecosystem for Global Wealth and Asset Management.
Responsibilities:
- Hands-on leadership and technical guidance in developing batch and real-time data pipelines, DevOps pipelines, and end-to-end processes in Microsoft Azure data and analytics PaaS services.
- Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off.
- Translate business requirements into technical solutions, collaborating with development teams, architects, and business analysts to ensure alignment to enterprise standards, architecture, and technologies.
- Deliver modernization of enterprise data solutions using Azure cloud data technologies, designing and building modern data pipelines, data streams, and data service APIs.
- Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and advanced analytics.
- Expose data to end-users using Power BI, Azure API apps, or other modern visualization platforms.
- Mentor other staff members and facilitate knowledge transfer within the team and across departments.
- See opportunities for architectural initiatives and make recommendations to enhance scalability and robustness of platforms and solutions.
What we are looking for:
- 5 years of experience in designing and developing data warehouses and ETL tools, with a focus on Azure Data Engineering.
- Strong expertise in Azure Databricks, Azure Data Lake, Azure SQL Databases, Azure Data Factory, and Azure Synapse Analytics.
- Hands-on experience with ETL processes and automation using Azure Data Factory and PySpark.
- Proficient in preparing data for data science and advanced analytics using Azure ML.
- Enterprise level experience working with the Hadoop ecosystem, including HDFS, MapReduce, Spark, Python, Scala, Hive, and Oozie.
What can we offer you?
- A competitive salary and benefits packages.
- 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 stakeholders and has a positive social and environmental impact.
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals.
Senior Data Engineer in Toronto employer: Manulife Financial Corporation
At Manulife, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our Canadian Advanced Analytics team. As a Data Scientist focusing on Generative AI, you'll benefit from a dynamic work culture that encourages professional growth, mentorship opportunities, and the chance to make a tangible impact in the field of AI/ML. Join us to be part of a forward-thinking organization that values your contributions and supports your career development in a thriving environment.
Contact Details:
Manulife Financial Corporation Recruitment Team
