DevOps Data Engineer for Big Data & Analytics

Tech Aalto Pte ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Tech Aalto Pte ltd in Singapore seeks a Software Developer with DevOps and Data Engineering expertise for a contract role. You will join a cross-functional team to design, build, and optimize data platforms and deployment pipelines.

The ideal candidate has hands-on experience with Python, PySpark, SQL, Hive/Impala, Denodo, SAP BO, Tableau, Informatica, Linux, and cloud/on-prem environments, delivering scalable, secure solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Responsibilities

• Lead or contribute to projects using waterfall and Agile methodologies, ensuring delivery within scope, time, and budget.
• Implement systems using Hive, Impala, and Cloudera Data Platform for optimized big data solutions.
• Utilize DevOps deployment practices to automate processes, ensuring scalability and integration with existing infrastructure.
• Implement data virtualization tools like Denodo to enhance data accessibility and performance across multiple systems.
• Work with reporting and data visualization tools such as SAP BO and Tableau to create dashboards and reports.
• Develop and optimize big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Maintain strong SQL skills to build queries, data modeling, and data analysis.
• Troubleshoot and resolve complex system issues across hybrid cloud environments.
• Design, develop, and implement data warehouse solutions and analytics platforms.

Skills

DevOps

Data engineering

Python

PySpark

SQL

Data modeling

Big data

Troubleshooting

Education

Bachelor's degree in Computer Science / IT

Tools

Hive

Impala

Cloudera Data Platform

Denodo

SAP BO

Tableau

Informatica

Linux

Job description

Tech Aalto Pte ltd in Singapore seeks a Software Developer with DevOps and Data Engineering expertise for a contract role. You will join a cross-functional team to design, build, and optimize data platforms and deployment pipelines.

The ideal candidate has hands-on experience with Python, PySpark, SQL, Hive/Impala, Denodo, SAP BO, Tableau, Informatica, Linux, and cloud/on-prem environments, delivering scalable, secure solutions.