AWS Data Engineer
Posted
Summary
Build, optimize, and maintain data pipelines and lakehouse architectures on AWS in a work-from-office role in Singapore. Core stack includes Python, PySpark, SQL, Databricks, Spark, Delta Lake, and AWS services such as S3, Glue, Redshift, Lambda, and Kinesis/MSK, plus Terraform and CI/CD.
We're Hiring: AWS Data Engineer!
We are seeking a highly skilled AWS Data Engineer with at least 6 years of experience to join our dynamic team in Singapore. The ideal candidate will have deep expertise in building, optimizing, and maintaining data pipelines and architectures on AWS, with a passion for transforming raw data into actionable insights that drive business success.
Location: Singapore, Singapore
Work Mode: Work from Office
Role: AWS Data Engineer
- StrongPython,PySparkandSQL.
- Hands-onexperiencewithDatabricks,ApacheSparkandDeltaLake.
- StrongAWSdataengineeringexperience:S3,Glue,LakeFormation,IAM,Lambda,Redshift,Kinesis/MSK.
- Experience designingDataLakeandLakehousearchitectures.
- KnowledgeofETL/ELTpipelines,incrementalloadingandCDC.
- Experiencewithdatamodeling,datatransformationandqueryoptimisation.
- Dataquality,schemavalidationandautomatedtesting.
- Workfloworchestration,Git,CI/CDandTerraform.
- Pipelinemonitoring,troubleshooting,alertingandrecovery.
- AWSsecurity:IAM,KMS,encryptionandaccessmanagement.