Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to address data-related challenges and contribute to the overall data strategy of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and optimize data pipelines to enhance data processing efficiency. - Monitor and troubleshoot data workflows to ensure seamless data integration. - Document data processes and maintain data governance standards. Professional & Technical Skills: - Required Skill: Expert proficiency in Snowflake Data Warehouse. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with SQL and data querying languages. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 5 years of experience in Snowflake Data Warehouse. - This position is based at our Cebu office. Minimum 5 year(s) of experience is required