Data Engineer,Group Consumer Banking and Big Data Analytics Technology, Technology and Operations Data Engineer,Group Consumer Banking and Big Data  …

DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
Competitive
DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
Competitive
Data Engineer,Group Consumer Banking and Big Data Analytics Technology, Technology and Operations
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 manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities
  • The position exists to continuously enhance the efficiency of existing Data pipeline Job/framework and setup a best practice for Big Data projects planned on the BI & Analytics platform.
  • Review and tune the code for the Spark framework to increase the throughput.
  • Establish best practices and guidelines to be followed by tech teams while writing codes in Spark.
  • Create a framework to continuously monitor the performance and identify the resource intensive jobs.

Requirements
  • Able to write code, services and components in Java, Apache Spark and Hadoop.
  • Responsible for systems analysis Design, Coding, Unit testing, CICD and other SDLC activities.
  • Proven experience working with Apache Spark streaming and batch framework.
  • Proven experience in performance tuning Java, Spark based applications is a must.
  • Knowledge of working with different file formats like Parquet , JSON and AVRO.
  • Data Warehouse experience working with RDBMS and Hadoo, Well versed with concepts of change data capture and SCD implementation.
  • Hands-on experience in writing codes to efficiently handle files on Hadoop.
  • Ability to work in projects following Micro Services based architecture.
  • Knowledge of S3 will be a plus.
  • Ability to work proactively, independently and with global teams.
  • Strong communication skills should be able to communicate effectively with the stakeholders and present the outcome of analysis.
  • Working experience in projects following Agile methodology is preferred.
  • At least 3 to 9 years of working experience, preferably in banking environments
  • Expert knowledge of technologies e.g. Hadoop, Hive, Presto, Spark, Java, RDBMS like Teradata and File storage like S3 are necessary.
  • Candidate must speak and write well.
  • Experienced on Hadoop frameworks such as Hive, Spark, Java.
  • Strong knowledge of relational database systems and data warehousing techniques.
  • Strong listening and communication skill set, with ability to clearly and concisely explain complex technical issues.

Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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