Data Engineer Data Engineer …

TEKsystems (Allegis Group Singapore Pte Ltd)
in Singapore
Contract, Full time
Be the first to apply
Competitive
TEKsystems (Allegis Group Singapore Pte Ltd)
in Singapore
Contract, Full time
Be the first to apply
Competitive
Data Engineer
Responsibilities:
  • Partner with senior business sponsors, platform supervision, compliance, and business management to enhance and augment the holistic supervisory and surveillance platform.
  • Investigate and analyze data on the surveillance platform as key input to enhance existing data strategy on multi-vector analysis using various natural language processing and machine learning techniques.
  • Primary focus is to investigate and analyze available structured and un-structured information, apply data mining techniques, perform statistical analysis, and provide methods (algorithmic and technical) to create actionable alerts and reduce false-positives.
  • Develop and enhance software solutions to meet business requirements such as eCom ingestion scripts and data management processes.
  • Gather and document technical requirements and specifications.
  • Attend regular meetings and interface with internal and external teams related to the project.
  • Work with the project PM and delivery manager to provide input on schedules and implementation best practices.
  • Work on multiple tasks and respect aggressive schedule.

Requirements:
a) Technical Competencies
  • Advance knowledge and experience on Python language a minimum of 5 years working experience.
  • Advance knowledge and experience of Big Data technologies including large data stores like Hadoop, Elastic, Apache Solr, Lucene and comparable stacks.
  • Advanced expertise of SQL systems, with at least 5 years expertise developing in Oracle, Microsoft SQL Server, PostgreSQL, MySQL.
  • Knowledge of JAVA, J2EE, JavaScript, JSON, Perl, SQL, and PL/SQL would be a plus.
  • Knowledge of NoSQL systems such as Cassandra, CouchDB, MongoDB, Elastic search is a plus.
  • Knowledge of Cloud Computing (AWS, Azure, Google), data visualization and analytics tools.
  • Basic understanding of project lifecycle stages - Requirements Gathering to Post Implementation.
b) Behavioral Competencies
  • Ability to manage conflicting requests on time in a continually fast moving environment and operate as a key team member of a global team.
  • Must be a self-starter with attention to detail and strong communications (written and oral) skills.
Preferred qualifications:
  • Experience with Front Office, Compliance, Operations, and IT support teams in a Capital Markets domain by developing client centric solution and working with vendor product implementations.
  • Experience with machine learning, natural language processing, AI, or robotics is a plus.
  • Master's degree in engineering, math, statistics, physics or other technical field

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