Senior Technical Lead - Singapore - NodeFlair

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1 month ago

Wei Jie

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Wei Jie

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Job Summary:

S$8,500 - S$11,500 / Monthly

Job Type

Senior Lead

Years of Experience
At least 7 years

Tech Stacks
ETL MariaDB Dataiku HortonWorks Cloudera Git Hive Spark Bitbucket SQL Hadoop


  • Migrate existing data warehouse and data model from MariaDB to Hadoop Big Data Cloudera onpremises platform.
  • Develop and optimize SQL, Hive SQL, and Spark scripts to ensure efficient data processing.
  • Design and implement data models to support business requirements and optimize performance.
  • Collaborate with crossfunctional teams to understand data requirements and ensure data integrity throughout the migration process.
  • Develop and execute test plans to validate data accuracy and system performance.
  • Coordinate with stakeholders (internal) to plan and execute production deployments.
  • Schedule and monitor jobs using Autosys to ensure timely execution and minimize downtime.
  • Provide technical expertise and guidance to team members throughout the migration project.
  • Document processes, procedures, technical specifications, and best practices to facilitate knowledge sharing and ensure scalability.
  • Create and maintain unit test case documents to ensure code quality and reliability.

Skills Requirement

  • Bachelor's degree in Computer Science/Information Technology/Engineering, or a related field.
years of experienece in relavant field.

  • Proven experience of 5+ years in data engineering and migration projects for big data (Hortonworks / Cloudera).
  • Strong handson experience on Cloudera and related ecosystem components.
  • Strong experience in implementing ETL (Extract, Transform, Load) processes.
  • Highly proficient in SQL, Hive SQL, Spark, and data modeling.
  • Strong understanding of the production deployment process.
  • Experience with scheduling jobs using Autosys or similar.
  • Experience with version control systems such as Bitbucket, GIT etc.
  • Ability to troubleshoot and resolve data related issues efficiently.
  • Good communication and interpersonal skills.
  • Experience with Dataiku is a plus, but not mandatory.

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