AWS Data Engineer

Tap Growth ai; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tap Growth ai is hiring an AWS Data Engineer in Singapore to design, build and optimize data pipelines and architectures on AWS. The role requires 6+ years of experience and deep knowledge of Databricks, Spark, Delta Lake and AWS data services.

You will work on data lakehouse architectures, ETL/ELT processes, data modeling, and pipeline monitoring in a fast-paced, collaborative environment at our Singapore office.

Qualifications

• 6+ years of experience in AWS data engineering.
• Experience designing data lakes and lakehouse architectures.
• Hands-on experience with Databricks and Spark on AWS.

Skills

Python

PySpark

SQL

Tools

Databricks

Apache Spark

Delta Lake

AWS services

Terraform

Git

CI/CD

Job description

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.