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Salary
≈ $42k – $81k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 27, 2026. DBS scores B on the Alion truth index.

Overview
Company
Impact
Profile match

DBS

DBS is a Singapore-headquartered banking and financial services group offering consumer banking, wealth management, private banking, institutional banking and treasury and markets services, based at Marina Bay Financial Centre. Established in 1968 as the Development Bank of Singapore, it is one of the country's three big local banks and has a growing presence in Greater China, Southeast Asia and South Asia, including operations in Hong Kong, Taiwan, India and Indonesia. Openings in Singapore, Hong Kong, Taipei and Indian cities cover risk management, relationship managers, operations, compliance, software engineering and architecture, product management and graduate programmes.

Business Function

Middle Office Technology (MOT) works hand-in-glove with the Bank’s middle office units to protect and manage risks & controls, financials, and regulations, enabled by purpose-built innovative solutions. The Risk Platform team focuses on developing robust data processing pipelines, risk engines, and analytical platforms using advanced big data and distributed processing technologies to support enterprise risk management, regulatory compliance, and data-driven decision-making across DBS.

Job Responsibilities

  • Create Scala/Spark/Pyspark jobs for data transformation and aggregation
  • Produce unit tests for Spark transformations and helper methods
  • Use Spark and Spark-SQL to read the parquet data and create the tables in hive using the Scala API.
  • Develop an application by using Hadoop tech stack and deliver effectively, efficiently, on-time, in-specification and in a cost-effective manner.
  • Work closely with Business Analysts team to review the test results and obtain sign off
  • Prepare necessary design/operations documentation for future usage Perform peer reviews
  • Code quality review and be gatekeeper for quality checks Hands-on coding, usually in a pair programming environment
  • Working in highly collaborative teams and building quality code
  • Ensure smooth production deployments as per plan and post-production deployment verification.

Job Requirements

  • The candidate must exhibit a good understanding of data structures, data manipulation, distributed processing, application development, and automation.
  • Familiar with Oracle, Spark streaming, Kafka, ML.
  • Tech stack: Hadoop, Spark, Scala, Java, Hive, Impala, CI/CD, Git, Jenkins, Agile Methodologies, DevOps, Cloudera Distribution.
  • Strong Knowledge in data warehousing Methodology
  • Strong problem-solving skills, ability to manage deliverables within desired timeframes, and effective communication skills.

Location:

DBS Asia Hub

Job:

Technology

Schedule:

Regular

Employee Status:

Full time
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