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Randstad Digital Americas is seeking a data engineer to build scalable batch and near real-time data pipelines and support cloud migrations with reliable CI/CD practices.
The role requires a bachelor’s degree and at least 4 years of software engineering experience, with proficiency in Ab Initio, Python, PySpark and SQL to develop robust data solutions.
Experience with BigQuery, Oracle, Teradata and UNIX Shell is expected, along with data modeling and performance tuning in distributed environments.
Build and maintain scalable batch and near real-time data pipelines using ETL solutions. Support the migration of legacy platforms to Google Cloud and ensure production reliability through CI/CD pipelines.
Requires a bachelor's degree and at least 4 years of software engineering experience. Proficiency in Ab Initio, Python, PySpark, and SQL is essential for developing data solutions.
Ab Initio, BigQuery, Data Warehousing, Distributed Data Processing, ETL, Data Engineering, Oracle, PL/SQL, Performance Tuning, PySpark, Python, Software Engineering, SQL, Teradata, UNIX Shell, Data Modeling