Data Engineer (AWS + Databricks)

eTeam Inc; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

eTeam Inc in Singapore is seeking a Data Engineer with AWS and Databricks expertise to design, build, and optimize scalable data pipelines. You will work with PySpark, Spark SQL, and Delta Lake to deliver robust data solutions for large-scale datasets.

Ideal candidates have 4–8 years of experience, strong SQL and data modeling skills, and familiarity with CI/CD and cloud-based best practices. This role is based in Singapore and offers opportunities to work with modern data platforms.

Qualifications

• . 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.

Skills

Databricks

PySpark

Spark SQL

SQL

Data Modeling

ETL/ELT Pipelines

CI/CD

Git

Delta Lake

Lakehouse Architecture

AWS Cloud Services

Tools

Databricks

AWS

S3

Glue

Lambda

Redshift

Athena

IAM

Delta Lake

Job description

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