VP / AVP, SRE Ops Engineer, Data Technology, Technology and Operations VP / AVP, SRE Ops Engineer, Data Technology,  …

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, SRE Ops Engineer, Data 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
  • Responsible for implementation and ongoing administration of Hadoop infrastructure.
  • Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments.
  • Working with data delivery teams to setup new Hadoop users.
  • Setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Spark and MapReduce access for the new users.
  • Cluster maintenance as well as creation and removal of nodes using tools like Grafana, Cloudera Manager Enterprise. Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
  • Screen Hadoop cluster job performances and capacity planning Monitor Hadoop cluster connectivity and security Manage and review Hadoop log files.
  • Working closely with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.
  • Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required.
  • File system management and monitoring.
  • HDFS support and maintenance.

Requirements
  • Bachelor's degree in Software Engineering or Computer Science.
  • Minimum 5 years of relevant experience in SRE Operations.
  • High-level analytical and problem-solving skills.
  • Good project management and communication skills.
  • Experience with big data technology - Hadoop, HDFS, MapReduce, Spark, Hive
  • Can work under dynamic change environment and have the right attitude to learn and implement.

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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