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Senior Assoc, Data Engineer, Middle Office Technology, Technology & Operations

Employer
DBS Bank Limited
Location
Singapore, Singapore
Salary
Competitive
Closing date
Aug 17, 2022

View more

Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Business Function

Group Technology and Operations (T&O) 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 T&O, we managethe majority ofthe Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities
  • Deliver solutions for online data extraction, data integration and data management.
  • Develop and maintain high-performance, scalable utilities to support technology research and data transformation.
  • Optimize data processing protocols and systems for better efficiency and maintainability.
  • Contribute to the establishment and maintenance of distributed computing platform and big data services
  • Writing of documents that clearly explain how algorithms should be implemented, verified and validated.
Requirements
  • Experience in a field encompassing Distributed computing, Big Data Analytics, Data Transformation (6-8 years)
  • Relevant industry experience in large scale crawling on cloud platforms would be favourably considered
  • Knowledge on Core Java / Scala preferably
  • Hands on experience in Spark is must.
  • Hands on experience on HDFS (Hadoop), spark, impala, hive.
  • Hands on experience on database technology.
  • Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Able to perform Unix / Linux scripting.
  • Able to write the programs in Spark.
  • Monitor and address issues relating to capacity constraints and performance related items.
  • Analyse and perform performance tuning for jobs and Queries.

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