Data Engineer / Senior Data Engineer
Design, build, and maintain Manulife's ETL/ELT data pipelines and data warehouse architecture on Microsoft Azure (Data Factory, Databricks, Synapse, ADLS Gen2), integrating data from multiple sources with strong governance and CI/CD practices. Hybrid role (3 days onsite in Lapu Lapu) on a night-shift schedule.
- Compensation
- Not disclosed
- Location
- Lapu Lapu, Philippines
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years of relevant industry experience as a Data Engineer
- Experience building and operationalizing data pipelines in MS Azure using Azure Data Factory and Azure Databricks
- Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines
- Good working knowledge of MS Azure services (SQL Queries, ADLS Gen2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem
- Good knowledge of data warehousing concepts and relational data modelling
- Familiarity with programming in compiled languages (Java, Scala) and scripting languages (Python, SQL, R)
- Understanding of Agile scrum methodologies and experience working in an Agile team with tools like Teams, JIRA, Mural
- Experience in data processing, performance analysis, tuning and capacity planning
- Amenable to hybrid work set-up (3x onsite per week)
- Amenable to night shift schedule (with flexibility for mid shift depending on business need)
Nice to have
- Excellent communication and interpersonal skills
- Excellent analytical, problem solving and solutioning skills
- Capacity for constant learning and openness to change and continuous improvement
- Familiarity with production release and operational support model
Full description
As a Data Engineer / Senior Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would 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 / Senior 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.
IMPORTANT NOTE
: Final job title and role will be finalized after interviews and technical assessment
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 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.
- 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)