As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realize their dreams and ambitions.
As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realize their dreams and aspirations at every life stage.
We want to be the most intelligent bank in the world by leveraging AI and Data Science for building hyper personalization solutions for our customers.
Prior experience in Consumer Banking Domain is an advantage
Prior experience in agile delivery method is an advantage
Excellent understanding of technology life cycles and the concepts and practices required to build big data solutions
Familiar with Data Warehouse concepts
Core Java skillset is an added advantage
Ability to understand and build re-usable data assets or features to enable downstream data science models to read and use
Good Knowledge and experience in any database (Teradata or Data Lake or Oracle or SQL Server) is a plus
Required Skills :
6 to 9 years’ hands on experience on Spark Core, Spark-SQL, Scala-Programming and Streaming datasets in Big Data platform
Should have extensive working experience in Hive and other components of Hadoop eco system (HBase, Zookeeper, Kafka and Flume)
Should be able to understand the complex transformation logic and translate them to Spark-SQL queries.
Unix Shell Scripting and setting up CRON jobs
Should have worked on Cloudera distribution framework, Oozie Workflow (or any Scheduler), Jenkins (or any version controller)
Bachelor of Engineering, Bachelor of Technology, MCA (or equivalent master degree)
Senior Data Engineer with Spark, SCALA, Python, Hadoop and Big Data Skillset