24 June 2021

A great opportunity for an experienced Big Data Engineer who are comfortable with technical hands on data management skills to strategize the implementation of Data Platform for a financial sector project.

Mandatory Skill(s)

  • Degree in Computer Science, Mathematics, Computer Engineering or relevant disciplines;
  • Has minimum 4 years of experience in data engineering and modelling;
  • Proficient in hands on data mapping and managing data quality/integrity;
  • Experience in architecting data platform solutions from scratch;
  • Good experience in data management process and lifecycle;
  • Has strong experience in Big Data technologies such as Hadoop, Spark, Hortonworks, Cloudera, AWS, Google;
  • Good exposure to ETL and Data Integration tools (e.g. SQL, Python, R, Java);
  • Strong aptitude for numbers and comfortable handling large volumes of data;
  • Strong written and verbal communication with emphasis in technical writing skills.

Desirable Skill(s)

  • Prior experience on AWS, Snowflake or migration to public cloud;
  • Experience in the financial sector.

Responsibilities

  • Work closely with key business users to gather and analyze Business Analytics Product requirements;
  • Involved in architecting end to end solutioning of Analytics products including sourcing of data, contextualizing data and integrating data with processes;
  • Build data ingestion pipelines for multiple data sources such as social media and public data sources;
  • Review and monitor ETL tasks and performance;
  • Transform and deliver data downstream in the required format through data modeling and engineering;
  • Assist and support data warehouse systems using various platforms;
  • Ensure smooth production deployment of data pipeline adhering to data governance policies;
  • Identify and suggest solutions to improve data engineering processes;
  • Support in project management activities i.e. tracking and reporting of project progress to ensure deliverables are on track;
  • Gain and establish support of business and project stakeholders to achieve project objectives.
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