Senior Hadoop & Spark Big Data Engineer
Summary
Designs and builds scalable big-data pipelines using Hadoop, Spark, and Python to process and warehouse large datasets efficiently.
Tech Aalto Pte. Ltd is seeking a Big Data Developer in Singapore with 3–10 years of experience to architect and implement scalable data processing solutions within the Hadoop ecosystem. The role emphasizes Hive, HDFS, Spark, Scala, and PySpark, along with proficiency in data warehousing concepts and big data tooling.
You will work with Shell scripting and Python, and gain exposure to Java, RESTful services, and Maven, while leveraging CI/CD pipelines and cloud deployment practices.