Data Engineer Spark

2 weeks ago


Singapore NodeFlair Full time

Job Summary:

Salary
S$7,500 - S$9,500 / Monthly

Job Type

Seniority
Mid

Years of Experience
At least 5 years

Tech Stacks
ETL Informatica Analytics SAP pySpark Cloudera Hive Impala Linux SQL Python

Job Summary:

- a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data

  • Platform. Overall experience can be 5 to 10 years. Consultant/ Senior Consultant preferably. The successful

Key Responsibilities:

  • Analyze the Authority's data needs and document the requirements.
  • Refine data collection/consumption by migrating data collection to more efficient channels.
  • Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
  • Develop test plan and scripts for system testing, support user acceptance testing.
  • Work with the Authority's technical teams to ensure smooth deployment and adoption of new solution.
  • Ensure the smooth operations and service level of IT solutions.


Support production issues
  • Track record in implementing systems with high availability, high performance,
high security.

What we are looking for:

  • Good understanding and completion of projects using waterfall/Agile methodology.
  • Good understanding of analytics and data warehouse implementations.
  • Strong SQL, data modelling and data analysis skills are a must.
  • Handson experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
  • Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
  • Handson experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
  • Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
  • Passion for automation, standardization, and best practices
  • Good written and verbal communication and interpersonal skills, ability to understand the business
requirement, communicate confidently with stakeholders.

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