Manulife
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Manulife. Skills: Data pipelines, Azure Data Factory, Azure Databricks, MS Azure. Design, develop, and maintain scalable ETL/ELT pipelines. Develop and maintain data architecture”
What You'll Achieve.
driving efficiency and innovation within our organization; streamline operations and improve efficiency; contributing to our mission of delivering high-quality products and platform services; continuous improvement and operational excellence
Industry & Context.
Excellent analytical, problem solving and solutioning skills
Amenable to work on a hybrid set-up (3x onsite per week), Amenable to work on a night shift schedule (with flexibility for mid shift depending on business need)
What They're Looking For.
Must Have
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, familiarity with DevOps and CICD pipelines, Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server), Good knowledge of data warehousing concepts, relational data modelling, Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R), Understanding of Agile scrum methodologies, experience of working in an Agile team, working understanding of collaboration tools like Teams, JIRA, Mural, Experience in Data processing, performance analysis, tuning, capacity planning, Amenable to work on a hybrid set-up (3x onsite per week), Amenable to work on a night shift schedule
Nice to Have
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
What You'll Do.
and maintain scalable ETL/ELT pipelines
Develop and maintain data architecture
Integrate data from various sources
Ensure data quality and consistency
Prepare data for analytical and operational use
Follow data governance policies
Collaborate with other data professionals
Understand data requirements
Develop solutions to meet data needs
Stay up to date with tools and technologies
Enhance Manulife's data infrastructure
Implement best practices of big data
Implement best practices of cloud computing
How You'll Work.
Team & Collaboration
Collaborate with other highly skilled data engineers, data architects and governance team; Collaborate with other data professionals, including data scientists, analysts, and business team members; Experience of working in an Agile team; Working understanding of collaboration tools like Teams, JIRA, Mural
Communication Scope
Excellent communication and interpersonal skills
Full Job Description
_As a**Data Engineer** at Manulife, you will play a critical role in the development and maintenance of the company's data systems and architecture. You will collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse._ _This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence._ **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. * Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs. * Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure. * 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 D
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