Senior Data Engineer

RAPSYS TECHNOLOGIES PTE. LTD.

Singapore
Not specified (assumed to be hybrid or onsite based on industry norms)
10+ years experience in data projects
Strong proficiency in python and hadoop
Expertise in hive and spark technologies
RAPSYS TECHNOLOGIES PTE. LTD. is seeking a Senior Data Engineer to design and maintain data pipeline ETL solutions, ensuring high data quality and supporting analytics within the insurance sector. The ideal candidate will have over 10 years of experience in data projects, proficiency in key technologies like Python and Hadoop, and the ability to collaborate with business users

Job Summary

  • The role involves designing and maintaining scalable data pipelines using Python, Hadoop, Hive, and Spark to meet complex business requirements.
  • Candidates must ensure data reliability and accuracy by establishing robust monitoring, logging, and alerting systems for pipeline performance.
  • This position requires collaborating with cross-functional teams to align key metrics logic and implement end-to-end insurance data modelling solutions.

Matching Summary

Match Score: 85

RAPSYS TECHNOLOGIES PTE. LTD. is seeking a Senior Data Engineer to design and maintain data pipeline ETL solutions, ensuring high data quality and supporting analytics within the insurance sector. The ideal candidate will have over 10 years of experience in data projects, proficiency in key technologies like Python and Hadoop, and the ability to collaborate with business users.

Skills & Requirements

Must-have

  • 10+ years experience in data projects
  • Strong proficiency in Python and Hadoop
  • Expertise in Hive and Spark technologies
  • Experience with CDP (Customer Data Platform)
  • Proven track record in insurance or banking domain

Nice-to-have

  • User handling experience with business stakeholders
  • Knowledge of insurance data modelling best practices
  • Experience driving optimization for data quality
  • Ability to collaborate with data scientists and analysts

Key Requirements

  • 10+ years of experience in data related projects
  • Strong proficiency in Python, Hadoop, Hive, Spark, CDP
  • Good experience in Insurance or Banking domain
  • User handling experience working directly with Business users

Work Rights

Not specified

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