Analytics Engineer

About the Role:

The Senior Analytics Engineer will be responsible for designing, developing, and maintaining end-to-end data solutions. This includes building robust data pipelines that extract from source systems into the data warehouse, transforming raw data into well-modeled datasets readily available for business intelligence. The role requires close collaboration with cross-functional teams to empower business stakeholders to derive actionable insights and make data-driven decisions across the organization.

Scope of Work and Responsibilities

• Develop and maintain Master Data Management web application written in Java

• Design and develop scalable data pipelines that extract data from various source systems and transform data inside the data warehouse.

• Transform data into data models that adhere to dimensional modelling techniques i.e. Kimball.

• Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.

• Ensure data accuracy and integrity through validation and quality checks.

• Participate in Agile development processes including Scrum and Kanban events.

• Prepare high-level and detailed technical designs for data solutions.

• Apply best practices in coding, testing, and deployment e.g. CI/CD pipelines.

• Stay updated with the latest trends in analytics engineering and suggest process improvements.

• Perform other relevant tasks as assigned.

1. Requirement and Qualification (Education & Work Experience)

Educational Requirements:

Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in a senior analytics engineering or a software engineering role.

• At least five (5) years of experience in architecture, design, and development of integrated systems.

• Strong analytical and problem-solving skills.

• Strong understanding of dimensional modelling techniques

• Familiarity with software development lifecycle and project management methodologies.

• Proven experience with developing Java web applications

• Proven experience with relational databases like Microsoft SQL Server

• Proven experience developing data pipelines using Python, PySpark and SQL.

• Extensive experience with Microsoft 365 applications.

• Familiarity with cloud platforms such as Azure or AWS.

• Experience in Agile methodologies (e.g., Scrum or Kanban).

• Experience with Azure DevOps is preferred.

• Experience with Azure Cloud Services and CI/CD pipelines is an advantage.

• Certifications in Secure Coding, Scrum, or DevOps are a plus.

• Experience working in teams of five or more members.

• Ability to work with senior executives from diverse cultures.

• Excellent oral and written communication skills in English.

Work Arrangement

• Work arrangement discussion and an opportunity for the candidate to ask questions

• Hybrid, requiring employees to report onsite three times a week. If the user unit requires contractors to report to HQ, compliance is mandatory.

• Work Schedule is from 8:00AM 5:00PM Manila Time.