Job Description
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 team members to address challenges and enhance data workflows, contributing to the overall efficiency and effectiveness of data management within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Monitor and optimize data pipelines for performance and reliability. - Document data processes and workflows to ensure clarity and knowledge sharing within the team. - Stay updated with industry trends and best practices in data engineering to continuously improve processes. Professional & Technical Skills: - Required Skill: Expert proficiency in Google BigQuery. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of programming languages such as SQL and Python for data manipulation. Additional Information: - The candidate should have minimum 2 years of experience in Google BigQuery. - This position is based at our Manila office. Minimum 2 year(s) of experience is required
