Data Engineer  

Are you looking for a supportive and collaborative workplace with great benefits and clear career development? You’ve come to the right place.

Why choose Manulife?

• Competitive salary package
• HMO on the first day with free dependents
• Retirement benefits
• Merit Increase
• Performance Bonus
• Global network of industry experts
• Extensive training resources

We’re looking for a Data Engineer to design and develop data pipelines and ETL jobs using Big Data Technologies. Get the chance to work with our team of experts and with key business stakeholder to transform business data into projects with real-world impact.

Have the skills and knowledge for the job? Learn more about the opening below!

Key Responsibilities:

• Design and develop data pipelines and ETL jobs using Big Data Technologies based on functional/non-functional business requirements
• Design and implement Data Integration/Ingestion/Extraction solutions based on high level architecture design
• Identify, design, and implement process improvements and delivery optimizations
• Collaborate with Stakeholders, Business Analysts, and Data Architects to assist and translate business requirements to technical solutions
• Develop big data and analytic solutions leveraging new or existing technology to advance Manulife’s all lines of business
• Exploratory data analysis; Query and process on-premise or cloud-based data, provide reports, summarize, and visualize the data
• Design, upgrade, and implement new data workflows, automation, tools, and API integrations
• Perform POC on new integration patterns and solutions
• Write and maintain technical documentation
• Perform unit tests and system integration tests
• Executes updates, patches, and other activities required to maintain and enhance the operations of on-premise or cloud-based environments

Qualifications

• At least 2 years experience as Data Engineer, with focus on Big Data processing and/or relational databases
• At least 2 years experience working with Microsoft Azure Data Platform, specifically Azure SQL Database, Azure Data Factory, ADLS storage account
• Experienced with working on Structured, Semi-Structured, and Unstructured datasets
• Experienced with any of the Big Data tools and technologies:
• Hadoop, Spark, Hive, Sqoop, Kafka, Nifi
• Experienced with relational SQL and NoSQL databases:
• MSSQL, Postgres, HBase, (MongoDB is a plus)
• Experienced in creating data pipelines and in developing complex and optimized queries
• Experienced with Workflow Management Tools: Airflow, Crontab, CA Workload Automation
• Knowledgeable with CI/CD tools
• Experienced in any of the following programming/scripting languages:
• SQL, Python, Shell, Scala
• Basic knowledge of Data Visualization in any of the following tools:
• Tableau, PowerBI, QlikView/Qlik Sense
• Knowledgeable in using collaboration tools (eg., MS Teams, Skype, Confluence, JIRA, etc.)
• Experience with any SLDC Methodologies and familiarity with different Agile methodologies
• Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results

Ready to make every day better? Apply today.