Reporting and Analytics Developer/Data Engineer

Unison Group; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Unison Group in Singapore is seeking a Data Engineer to analyse data needs, design data pipelines, and build reporting solutions. The role involves migrating data collection, developing tests, and delivering dashboards using tools like Tableau and SAP BO.

You will work with Cloudera CDP, Hive/Impala, PySpark, Python, and automation to ensure high availability and performance across on-site data platforms. Strong SQL, data modelling, and analytics skills are essential, with hands-on experience in

Qualifications

• Hands-on experience in big data engineering with Python/PySpark.
• Strong SQL, data modelling and data analysis skills.
• Experience with BI tools like Tableau/SAP BO.

Responsibilities

• Analyse the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating to efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions.
• Develop test plans and scripts for system testing and UAT.
• Build reports and dashboards according to user requirements.
• Collaborate with technical teams for deployment and adoption.
• Ensure smooth operations and SLAs of IT solutions.
• Support production issues and automate deployment.
• Apply AI coding tools to support development, testing, and reviews.
• Utilise automation to improve development efficiency (build/test/deploy).
• Leverage AI to improve code quality (refactor, fix defects, document).
• Demonstrate willingness to adopt new AI/automation tools.
• Work with waterfall/Agile methodologies.
• Experience with Cloudera AI, Plotly and data engineering AI stack.
• Experience with Hive, Impala and CDP; analytics and data warehouse implementations.

Skills

SQL

Data analysis

Python

PySpark

Linux

ETL

Tableau

Scripting

DevOps

Automation

Tools

Informatica

Denodo

Hive/Impala

Cloudera Data Platform

SAP BO

Plotly

Linux shell

Copilot

Coder AI

Job description

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.

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 an added advantage.

Passion for automation, standardization, and best practices.

AI and automation scope past experience will be an advantage.