Data Engineer (AWS + Databricks)

Position: Data Engineer (AWS + Databricks)

Location: Singapore

Experience: 4 to 8 Years

Key Skills Required

• Strong hands-on experience with Databricks
• Expertise in PySpark and Spark SQL
• Good experience with AWS Cloud Services, including:
• S3
• Glue
• Lambda
• Redshift
• Athena
• IAM
• Experience with Delta Lake and Lakehouse Architecture
• Strong SQL and Data Modeling skills
• Experience designing and developing scalable ETL/ELT pipelines
• Knowledge of CI/CD, Git, and cloud-based data engineering best practices

Responsibilities

• Design, build, and optimize scalable data pipelines using AWS and Databricks.
• Develop ETL/ELT workflows for processing large-scale data.
• Implement and maintain Delta Lake/Lakehouse solutions.
• Collaborate with business and technical stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data processing workloads.

Preferred Certifications

• AWS Certified Data Engineer / Solutions Architect

Databricks Certified Data Engineer