Senior Analytics Engineer

4 weeks ago

Mandaluyong, Philippines Lancesoft Philippines Full time

Overview

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, and creating interactive and user-friendly data visualizations using Power BI. 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.

Responsibilities
  • 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).
  • Create visually compelling and informative dashboards and reports using Power BI.
  • Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.
  • Ensure data accuracy and integrity through validation and quality checks.
  • Design interactive, user-friendly visualizations tailored to different stakeholder needs.
  • 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 including CI/CD pipelines.
  • Stay updated with the latest trends in data engineering and visualization and suggest process improvements.
  • Perform other relevant tasks as assigned.
Qualifications
  • Educational Requirements: Bachelor of Science in Information Technology, Engineering, Data Science, or related fields.
  • At least five (5) years of experience in a senior analytics engineering or developer 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 relational databases (e.g., Oracle, 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).
  • Proficiency in Power BI; experience with Tableau and other visualization platforms is a plus.
  • 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.
Details
  • Seniority level: Mid-Senior level
  • Employment type: Contract
  • Industry: Staffing and Recruiting
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