Description

About the Project
We’rebuildingamodernAWSDataLakehouseusingS3,Glue,Iceberg,Snowflake,Terraform,andAirflow.Thisroleisidealforsomeonewhocandesignscalabledataplatforms,buildGlue-basedETLpipelines,andautomatecloudinfrastructure.

What You’ll Do
Build & deploy AWS infrastructure using Terraform (S3,Glue,IAM,LakeFormation,Athena)
Develop AWS Glue ETL (PySpark/Python) acrossraw →clean→ curatedlayers
Create & manage Airflow DAGs (MWAA or self-managed)
Maintain Glue Catalog & enforce Lake Formation security
Write & optimize complex SQL for validation and analytics
Manage Terraform states, environments, and deployments
Builds calable batch & near real-timeingestion pipelines
Collaborate with Snowflake/BI teams
Support HA/DR strategies(multi-AZ, multi-region)

Required Skills
6+yearsasaDataEngineer/Cloud Engineer
StrongAWS:S3,Glue,GlueCatalog,LakeFormation,IAM,Athena,CloudWatch
Hands-on Terraform(HCL)
Experience with Airflow orchestration
Proficiency in PySpark/Python
Expert-level SQL
Knowledge of Iceberg, Parquet, Delta
Experience with CI/CD (GitHub Actions/Jenkins/Code Pipeline)

Nice to Have
Snowflake experience
Datamodeling&schemaevolution
AWS securitybestpractices
AWS Datazone, CloudTrail, SNS

Key Skills

Education

Any Graduate