Data Engineer

Unison Group; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Unison Group in Singapore is looking for a Data Engineer to analyze data needs and implement efficient data engineering jobs. Candidates should have strong skills in SQL, Python, and data visualization tools like Tableau.

You will also plan and design reporting solutions while working closely with technical teams to ensure smooth operations and support production issues.

Experience with DevOps deployment and understanding of analytics is advantageous.

Qualifications

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux.
• Strong SQL skills and experience with data analysis.
• Understanding of analytics and data warehouse implementations.

Responsibilities

• Analyse data needs and document requirements.
• Plan, design and implement data engineering jobs.
• Ensure smooth deployment and adoption of new solutions.

Skills

Data analysis

DevOps deployment

Python

SQL

ETL tools

Agile methodology

Data virtualization

Data modelling

Tools

Tableau

SAP BO

Informatica

Hive

Impala

Cloudera Data Platform

Denodo

Job description

• Analyse the 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 technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands‑on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands‑on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• 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 an added advantage.