Responsibilities:

A. Design and Implement data ingestion pipelines

• Lead data lake design / structure

• Create automated processes to collect, aggregate, and ingest data from different sources across departments

B. Ensure data quality and establish governance

• Standerdize processes (which could include report generation or operations related processes) and coordinate implementation with business process owners

• Establish policies and measures on data access, security, pricavy, and usage.

C. Maintenance & Optimization

• Assess end-to-end process workflows, identify inefficiencies and optimize processess

• Configure for scability and cost-effectiveness

Qualifications:

• Bachelor's Degree in any following fields: Data Science, Computer Science, Engineering (Industrial, Computer, or related)
• Strong analytical capability and data storytelling
• High proficiency in SQL and any of the following, Google Data Studio, Power BI, AWS Cloud Systems.
• Expertise in continuous improvement tools and structured problem solving
• Ability to lead improvement activities independently
• High-confidence in cross-functional communication