Senior Assoc, Application Developer, Middle Office Technology - Finance Platform, Group Technology

DBS; Singapore; Sur place; SGD 120 000 - 160 000; Plein temps

Résumé du poste

DBS invites applications for Senior Assoc, Application Developer in Middle Office Technology, Finance Platform in Singapore. You will design, develop, and maintain scalable data pipelines within the Hadoop ecosystem and optimize Spark/SQL performance to reduce latency.

You will automate batch processes using Shell scripts and REST APIs, manage data storage with HDFS/Parquet, and leverage AWS S3 for cloud data management. Strong Linux/Unix, Python, and Scala skills are required.

Qualifications

• Experience designing and maintaining scalable data pipelines in a Hadoop ecosystem.
• Proficient in tuning SQL and Spark ETL for performance.
• Experience with batch automation, REST APIs, and Linux scripting.
• Cloud experience with AWS S3 preferred.

Responsabilités

• Design, develop, and maintain data pipelines and apps within Hadoop.
• Tune SQL and Spark ETL to optimize latency.
• Automate batch processes using Shell scripts and REST APIs.
• Manage data storage with HDFS and Parquet.
• Develop scripts in Shell, Python, and Scala for automation.
• Troubleshoot issues in Linux/Unix environments.

Connaissances

Analytical thinking

Problem solving

Team collaboration

Communication

Outils

Hadoop

HDFS

Hive

Impala

Spark (Scala/Java)

SQL

Shell scripting

Python

Scala

Linux/Unix

REST APIs

AWS S3

Description du poste

## Senior Assoc, Application Developer, Middle Office Technology - Finance Platform, Group TechnologyApply: Singapore - East: Full time: Posted Today: WD89694**Business Function**Group Technology enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. **Responsibilities*** Design, develop, and maintain scalable data pipelines and applications within the Hadoop ecosystem.* Perform performance tuning of SQL and Spark ETL processing to optimize system efficiency and reduce latency.* Implement batch automation using Shell scripts and REST APIs, including job triggering and result parsing.* Manage data storage, ingestion, and retrieval processes using HDFS and Parquet* Develop robust scripts using Shell, Python, and Scala to automate operational workflows and system integrations.* Utilize AWS products, such as S3 Storage, for cloud-based data management and integration.* Troubleshoot, debug, and resolve complex technical issues within Linux/Unix environments. **Requirements*** Proven experience in application development within a large-scale enterprise technology environment.* **Strong technical expertise in Hadoop, HDFS, Hive, and Impala.*** **Proficiency in Spark (Scala/Java) and SQL.*** Hands-on experience with data serialization and storage formats including Parquet* Demonstrated ability in the performance tuning of SQL and Spark ETL processing.* Strong command of Linux/Unix systems and command-line tools.* Expertise in scripting using Shell, Python, and Scala.* Experience in batch automation using Shell scripts and REST APIs, including triggering and result parsing.* Familiarity with cloud technologies, specifically AWS products such as S3 Storage.* Strong problem-solving skills and a can-do attitude, with the ability to develop solutions. **Location:**DBS Asia Hub**Job:**Technology**Schedule:**Regular**Employee Status:**Full time