Big Data Engineer with DBS Bank

Singapore

$96K - 168K a year

DBS is looking to hire a Big Data Engineer with the following competencies:

Technical Competencies

  • Operating Systems (Linux)
  • Databases (MySQL/MariaDB)
  • Hadoop (Cloudera)
  • Bigdata Technologies (Apache Spark, Impala, Python)
  • Ansible, Python
  • Dockers , Kubernetes

Responsibilities

  • Collaborates and works with Engineering team to develop technical solutions, plans and configuration, in response to requirements from Business and Application teams.
  • Plan and build efficient data platforms, systems and infrastructure for intelligent engines which empower business critical features leveraging background of distributed systems and scalable analytics.
  • Derive engineering principals for running platform in most optimized way. Conducts performance analysis and tuning on regular basis.
  • Supports Innovation; Identify new areas of improvement for data infrastructure, big data technology with an eye to solve business problems.
  • Assess common patterns and problems to create standardized solutions by centrally building core services and technology frameworks for analytics, intelligence and data technology teams.
  • Automate system operations and establish zero touch routines.
  • Apply new technology and process to improve system supportability, recoverability, availability and performance. Leverage and establish best practices for Big Data Platform
  • Perform application tuning, code reviews and share guidance to different application teams to ensure platform efficiency and stability.
  • Supports a clear communication strategy that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work

Requirements

  • Possess good understanding and experience with analytical frameworks and languages such as SQL, Python, Docker, Kubernetes, Ansible etc.
  • Well-versed in data analytics concepts, technologies and applications
  • Proven background of performance tuning and triage for Data infrastructure
  • Hands-on experience in implementing data Infrastructure solution