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
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