Senior Data Engineer

INFINITE COMPUTER SOLUTIONS PTE LTD

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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Job summary

INFINITE COMPUTER SOLUTIONS PTE LTD is seeking a data engineer to plan, design, and implement data engineering jobs and reporting solutions that meet analytical needs. You will refine data collection processes, migrate to efficient channels, and collaborate with IT teams to ensure smooth deployment and adoption of new solutions.

Responsibilities include building dashboards, developing test plans, and applying AI tools to improve development, testing, and code quality.

Qualifications

  • Experience with waterfall/Agile project delivery.
  • Proficient in SQL, data modelling and data analysis.
  • Hands-on big data engineering with Python and PySpark.
  • Experience with BI tools like SAP BO and Tableau.
  • DevOps deployment and data virtualization knowledge.
  • Familiarity with Hive, Impala and Cloudera Data Platform.

Responsibilities

  • Analyse data needs and document requirements.
  • Refine data collection and migrate to efficient channels.
  • Design and implement data engineering jobs and reports.
  • Develop test plans for system testing and UAT.
  • Build reports and dashboards per user requirements.
  • Ensure smooth deployment and adoption of new solutions.
  • Maintain operations and service levels of IT solutions.
  • Apply AI coding tools to support development, testing, and code reviews.
  • Use automation to improve development, build, test, and deployment.
  • Leverage AI to improve code quality and documentation.

Skills

SQL
Data modelling
Data analysis
Python
PySpark
Linux
ETL tools
Informatica
Tableau
SAP BO
Denodo
Hive
Impala
Cloudera Data Platform

Tools

Informatica
Tableau
SAP BO
Denodo
Hive
Impala
Cloudera Data Platform

Job description

Key Responsibilities
  • Analyse 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.
  • Build reports and dashboards according to user requirements
  • 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
  • Apply AI coding tools such as Copilot and Coder AI to support development, testing, and code reviews.
  • Use automation to improve development efficiency. This includes build, test, and deployment activities.
  • Leverage AI assistance to improve code quality. This covers refactoring, defect resolution, and documentation.
  • Demonstrate willingness to adopt new AI and automation tools where relevant to work outcomes.
What we are looking for
  • Good understanding and completion of projects using waterfall/Agile methodology.
  • Working experience using Cloudera AI (Machine Learning), Plotly and data engineering AI tool stack
  • Strong SQL, data modelling and data analysis skills are a must.
  • Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
  • Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is must.
  • Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be an advantage.
  • Hand-on experience in scripting like python and shell scripts will be an advantage
  • Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
  • Good understanding of analytics and data warehouse implementations.
  • Ability to troubleshoot complex issues ranging from system resource to application stack traces.
  • Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be added advantage.
  • Passion for automation, standardization, and best practices.
  • AI and automation scope past experience will be an advantage.
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