Senior Databricks Data Engineer for AI Data Platforms

Ernst & Young Advisory Services Sdn Bhd; Singapore; On-site; SGD 80,000 - 110,000; Full time

Benefits offered by this job

Continuous learning opportunities

Flexible work environment

Diverse and inclusive culture

Job summary

A leading global consulting firm based in Singapore is seeking a Senior Data Engineer specializing in Databricks. The successful candidate will design and implement scalable data pipelines, ensuring high performance and resilience. Responsibilities include collaborating with stakeholders and deploying projects on public clouds. Candidates should have a Bachelor's degree in Computer Science or a related field, as well as relevant certifications and at least 4 years of experience in data platforms. This role offers a flexible work environment and opportunities for continuous learning.

Qualifications

• Min Bachelor’s degree in Computer Science, Mathematics, Engineering, or Statistics.
• Databricks and Azure certifications required.
• At least 4 years of experience in data platform solutions.
• Proficiency in programming languages like Python, Spark, and Scala.

Responsibilities

• Design scalable data pipelines for high performance.
• Code complex requirements within large data platforms.
• Deploy projects on public clouds securely.
• Collaborate with stakeholders and present findings.

Skills

Databricks

Python

Data engineering

Statistical analysis

Cloud platforms (Azure, AWS, GCP)

Agile methodology

Education

Bachelor’s degree in Computer Science or related field

Tools

JIRA

Spark

Job description

A leading global consulting firm based in Singapore is seeking a Senior Data Engineer specializing in Databricks. The successful candidate will design and implement scalable data pipelines, ensuring high performance and resilience. Responsibilities include collaborating with stakeholders and deploying projects on public clouds. Candidates should have a Bachelor's degree in Computer Science or a related field, as well as relevant certifications and at least 4 years of experience in data platforms. This role offers a flexible work environment and opportunities for continuous learning.