Senior Data Engineer - Azure ETL & Data Architecture (Hybrid)

Manulife; Quezon City; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

Manulife is seeking a Data Engineer / Senior Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines and data architecture in Azure. You will collaborate with data scientists, governance teams, and business stakeholders to ensure data quality and enabling analytics and operations.

The role emphasizes implementing best practices in big data and cloud computing, with a hybrid work setup and opportunities to contribute to data governance and continuous improvement at Manulife.

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)
• 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
• 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)

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.

Skills

Azure Data Factory

Azure Databricks

DevOps

CI/CD

SQL

Python

Java/Scala

R

Agile Scrum

Jira

Teams

Mural

Tools

JIRA

Mural

Teams

Job description

Manulife is seeking a Data Engineer / Senior Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines and data architecture in Azure. You will collaborate with data scientists, governance teams, and business stakeholders to ensure data quality and enabling analytics and operations.

The role emphasizes implementing best practices in big data and cloud computing, with a hybrid work setup and opportunities to contribute to data governance and continuous improvement at Manulife.