A challenging and exciting opportunity as a Data Engineer to work with one of the fastest growing financial institutions for their complex data projects.

Mandatory Skill(s)

  • Bachelors in IT, Computer Science or Engineering;
  • At least 2-3 years of working experience in a big data analytics environment;
  • Experience using open source data science tools such as Talend,Spark to deploy and manipulate large data sets;
  • Must have experience in Webservices – S3, Redshift, Athena, Kinesis, EMR, EC2 ;
  • Deep knowledge of Analytics model/software and tools with the ability to conceptualize, architect the key components and to develop prototypes using tools like  Data Lake,R,Qlik etc;
  • Extensive experience working with very large data sets, data visualization, data mining, and data cleansing/transformation and machine learning;
  • Proven track record of solving challenging problems by applying advanced analytics;
  • Good analytical ability, conceptual thinking, planning and organisational skills.

Desirable Skill(s)

  • Background in financial sector.


  • Responsible for designing and building new Big Data applications for analyzing data and implementing ways to improve the process;
  • Involved in designing and developing ETL process including fine tuning and optimization;
  • Design and implement data pipelines to incorporate new big data sets;
  • Working closely with Stakeholders, Vendors, SME and Data architects to understand the technical specifications,requirements ;
  • Build analytics tool that uses data pipeline to provide actionable insights into key business performance metrics;
  • Continuously monitoring and testing the system to ensure optimized performance of the models.
Apply to this Job