Reporting and Analytics Developer/ Data Engineer_Contract Renewable

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

NTT Singapore Pte. Ltd. is seeking a Reporting and Analytics Developer/Data Engineer with a minimum of 4 years' experience in big data environments.

You will design, develop, and maintain data ingestion and processing jobs and integrate datasets to produce seamless data access for users. The role involves working with Cloudera Data Platform, Hive, Impala, PySpark, Python, SQL, and BI tools to create dashboards and reports, while leveraging automation and AI-assisted coding to improve quality and

Qualifications

• 4+ years of data engineering experience in big data environments.
• Strong SQL, data modelling, and data analysis skills.
• Hands-on with Python, PySpark, Linux, and ETL tools like Informatica.
• Experience with reporting/visualization tools such as Tableau or SAP BO is a plus.
• Familiar with Hive, Impala and Cloudera Data Platform.

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 plans and scripts fors ystem 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 newAI and automation tools where relevant to work outcomes.

Skills

SQL

Data modelling

Data analysis

Python

PySpark

Linux

ETL

Informatica

Tableau

Hive

Impala

Cloudera Data Platform

DevOps

Automation

Tools

Informatica

Tableau

Denodo

Hive

Impala

Cloudera Data Platform

Plotly

Job description

Reporting and Analytics Developer/ Data Engineer

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate will have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.

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 fors ystem 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 newAI 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 an added advantage.
• Passion for automation, standardization, and best practices.