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The Asia Data Office is looking for an experienced Senior Data Engineer to join our team to support our regional partners. If you have passion for data and a desire to drive quality data solutions within a data driven culture, then read on to learn more about this opportunity!
We are looking for the right individual who would be interested and enjoy the opportunity to support data operations, strong willingness to learn and build data operations skills through team collaboration, desire to drive and execute on our data strategy, willing to help mature our agile practices, and is looking for an opportunity to embrace technical, operational, and informal leadership roles on the team.
Position Responsibilities:
Required Qualifications:
Preferred Qualifications:
When you join our team:
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
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 [Confidential Information].
Working Arrangement
Hybrid
Job ID: 152969627
Skills:
Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar
Skills:
Python, Aws Services
Skills:
data streaming , Data Factory, Azure Databricks, Cosmos, Azure Sql, Azure Synapse, Azure Data Factory, Azure Cloud, Azure Synapse Analytics, Spark, Databricks, Python, ETL ELT flows, Debezium, Databricks SQL Warehouse, Azure ADLS, Event Hubs, Big Data tools and frameworks, Data Governance Regulations and Compliance, Hadoop Cluster, data querying tools
Skills:
data streaming , Azure Databricks, Cosmos, Azure Sql, Azure Synapse, Azure Data Factory, Azure Cloud, Azure Synapse Analytics, Spark, Python, ETL ELT flows, Debezium, Databricks SQL Warehouse, Azure ADLS, Event Hubs, Big Data tools and frameworks, Data Governance Regulations and Compliance, Hadoop Cluster, data querying tools
Skills:
snowflake , Github, Digital Analytics, Apis, Data Warehousing, Dimensional Modeling, Marketing Automation, Sql, ELT, Git, Data Governance, Python, Azure DevOps, Etl, enterprise data architecture, Security, dbt, metadata lineage, CRM