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AWS Data Engineer

Carecone — Australia · Posted ~3 hours ago

Mid Full-time

Skills

AWS data pipelines ETL/ELT SQL Python CI/CD S3 Glue Lambda Redshift Snowflake Airflow Java

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Summary ✨ AI‑Generated

A data engineering role focused on building cloud-based data platforms, automation frameworks, and reliable pipelines. The position involves working with modern cloud services, testing frameworks, and DevOps practices.

Highlights

Opportunity to design cloud data platforms, automate workflows, and improve data quality using modern engineering practices.

Description

Role- AWS Data Engineer Location- Sydney Job Details- Responsibilities: Develop and maintain automation frameworks for data platforms and pipelines. Build automated validation for data ingestion, transformation, and reporting workflows. Support CI/CD automation and cloud-native deployments. Collaborate with data engineers, developers, and stakeholders to ensure data quality and platform reliability. Skills: AWS Data Services (S3, Glue, Lambda, Redshift, Athena) Snowflake, Apache Airflow Python and Java API Testing and Automation Framework Development CI/CD (GitLab), DevOps Practices. Data Validation, ETL/ELT Testing, SQL Kafka and Data Pipeline Testing Cucumber, BDD Frameworks Interested Candidates can share their updated resumes to nidhi.goyal@carecone.com.au or can reach me at +61 291 575 539