Data Engineer

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 Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and ETL processes. - Familiarity with cloud platforms and services related to data storage and processing. - Additional Good To Have Skills: Experience with Apache Spark and data visualization tools. Additional Information: - The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Manila office. Minimum 2 year(s) of experience is required

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