Senior Analytics Engineer
6 days ago
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.
I. 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.
Reporting and Coordination
The Senior Analytics Engineer will report to the Project Manager and/or designated staff. The Analytics Engineer will work closely with business stakeholders, data analysts, and other teams within the organization.
High Level and Detailed Technical Designs Unit Tested and Secure Code
Interactive and Insightful Dashboards
Job Types: Full-time, Permanent
Pay: Php70, Php95,000.00 per month
Work Location: In person
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