Data engineer
JobCubby · Singapore, Singapore ·
- Category
- Data engineering
- Company size
- 1000+
JobCubby · Singapore, Singapore ·
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Data Engineer in Singapore who designs, builds, and maintains scalable ETL/ELT data pipelines, warehouses, data lakes, and data models to power reporting and analytics. Core stack spans SQL, Python/PySpark/Scala/Java, Spark/Hadoop/Kafka, and Azure data platforms (ADF, Databricks, Synapse).
We are seeking a skilled and motivated Data Engineer to design, develop, and maintain scalable data pipelines and data solutions. The ideal candidate will work closely with business stakeholders, data analysts, data scientists, and application teams to enable efficient data ingestion, transformation, storage, and reporting.
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.