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 engage in the design, development, and maintenance of 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 effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability 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 understand data 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 Extract Transform Load (ETL). - Strong understanding of data warehousing concepts and architecture. - Experience with data integration tools and frameworks. - Familiarity with programming languages such as Python or SQL for data manipulation. - Experience in implementing data quality checks and validation processes. Additional Information: - The candidate should have minimum 2 years of experience in Extract Transform Load (ETL). - This position is based at our Manila office. Minimum 2 year(s) of experience is required

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