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A technology solutions company in Singapore is seeking an experienced Data Engineer with 6-8 years of experience. The role involves developing data pipelines and applications, leading configuration and testing, and mentoring junior engineers. Candidates should have experience with Databricks, Hadoop, and INFORMATICA, alongside certifications in data engineering. Strong skills in Spark, Python, PySpark, and SQL are essential. This opportunity offers a dynamic work environment focused on innovative data solutions.
Create technical, functional, and operational documentation for data pipelines and applications. Understand business requirements to drive the design of data solutions/applications and technical architecture. Work with other developers, designers, and architects (local and remote) to ensure data applications meet requirements and performance, data security, and analytics goals. Lead the configuration, build, and testing of data applications and technical architecture. Establish and grow a data engineering framework to ensure the reliability, scalability, quality and efficiency of data pipelines, storage, processing and integration. Coordinate and participate in structured peer reviews / walkthroughs / code reviews. Maintain and/or update technical and/or industry knowledge and skills through continuous learning activities. Mentor and develop junior engineers.
Good presentation skills with the ability to convey complex ideas to peers and management.