Junior Data Engineer
2 weeks ago
Junior Data Engineer (Hadoop & Spark) - Contract- Changi
Employer: NTT DATA Singapore
Work Location: Changi , Singapore (Onsite, within a leading bank environment)
Contract Duration: 12 months (renewable)
Monthly Salary Range (SGD): $4,000 – $5,500
Interested candidates are kindly requested to email their CV with their experience to:
Job Description:
We are seeking a junior to mid-level Data Engineer to join our project team with a leading Singapore bank.
The role requires hands-on experience in building and optimizing Spark-based applications within a Hadoop ecosystem. The successful candidate will gain valuable exposure to banking data systems while working on large-scale enterprise data projects.
Responsibilities:
- Develop and maintain Spark applications in PySpark/Scala for data ingestion, transformation, and processing on Hadoop clusters.
- Work with HDFS, Hive, Sqoop, and other Hadoop ecosystem tools.
- Optimize Spark jobs for performance and scalability (memory, executors, partitions).
- Support ETL pipelines, troubleshoot production issues, and ensure data quality.
- Collaborate with business and technology teams to deliver data solutions in a banking environment.
Requirements:
- 1 to 3 years of experience as a Data Engineer or Big Data Developer.
- Strong programming knowledge in PySpark / Scala Spark .
- Hands-on experience in Hadoop ecosystem (HDFS, Hive, YARN, Sqoop, Oozie, etc.) .
- SQL proficiency for data extraction and validation.
- Familiarity with Linux/Unix environments.
- Good communication and problem-solving skills.
Good to Have:
- Prior experience in banking or financial services projects.
- Basic understanding of cloud platforms (AWS, Azure, GCP) – but strong Hadoop on-premise skills preferred.
Monthly Salary Range (SGD): $4,000 – $5,500
Interested candidates are kindly requested to email their CV with their experience to:
We look forward to your application
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