VP/AVP, Data Engineer, Group Consumer Banking and Big Data Analytics Technology, Technology & Operations VP/AVP, Data Engineer, Group Consumer Banking and  …

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
VP/AVP, Data Engineer, Group Consumer Banking and Big Data Analytics Technology, Technology & 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:
  • Create and maintain optimal data pipeline.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing Jobs/code for greater scalability, etc.
  • Work with stakeholders including the Product owner, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
Requirements
  • Advanced working SQL knowledge and experience working with RDBMS, Hadoop and NoSQL DB.
  • Experience building and optimizing 'big data' data pipelines, Jobs and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with structured and unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with:
  • Big data tools: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Data pipeline and workflow management tools: Airflow, etc.
  • AWS cloud services or GCP.
  • Stream-processing systems: Spark-Streaming, Flink etc.
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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