Description
The Data Engineer will analyze and organize raw data, build data systems and pipelines, evaluate business needs, combine information from multiple sources, improve data quality and reliability, identify data acquisition opportunities, and develop analytical tools and programs. The role requires at least three years of professional Data Engineer experience, SQL and ETL development skills, knowledge of shell scripting, Hadoop, and big data, and familiarity with Agile and DevOps. Preferred qualifications include data modeling, Python/R, and AWS Redshift, with the position requiring full onsite work in Ortigas.
