Data Engineer

Das ist der Job

Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.

Darum lohnt es sich

Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.

Good knowledge of data warehousing concepts and relational data modelling Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R) Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to and working understanding of collaboration tools like Teams, JIRA, Mural Experience in Data processing, performance analysis, tuning and capacity planning Preferred Qualifications Excellent communication and interpersonal skills Excellent analytical, problem solving and solutioning skills A capacity for constant learning from both success and failure, remaining open to change and continuous improvement Familiarity with production release and operational support model Benefits We’ll empower you to learn and grow the career you want.

As part of our distributed team, we’ll support you in crafting the future you want to see! About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.

Position Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.

Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.

Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective. Required Qualifications 4 or more years of relevant industry experience as Data Engineer Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.

Experience in automating data pipelines and familiarity with DevOps and CICD pipelines Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

To learn more about us, visit . Manulife is an Equal Opportunity Employer 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.

We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process.

All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact . Working Arrangement Hybrid #J-18808-Ljbffr