VP, Senior Data Engineer, Group Consumer Banking and Big Data Analytics Technology, Technology & Operations
DBS Bank Limited
Location: Singapore, Singapore
Type: Full Time
Internal Number: 12297879
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
Design and build from scratch for enterprise observability infrastructure
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.
Working SQL knowledge and experience working with RDBMS, NoSQL DB and Time-Series Database
Experience with Kubernetes and Python programming language
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 or Software 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:
ELK, Kafka & Grafana
Relational SQL and Time-Series databases, such as MariaDB and InfluxDB
Data pipeline and workflow management tools: Airflow, Nifi, etc.
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.