Must Have Skills: Python, SQL, Airflow, Terraform, Glue, Lambda, Step Functions, MWAA, S3, Athena
Nice to Have Skills: Any Data related skills
Role Summary: Build and maintain scalable, automated data pipelines for ingestion,
transformation, and processing. Ensures reliable and timely data availability for analytics and AI use cases.
Key Responsibilities
- Develop ETL/ELT pipelines using Glue, Airflow, Step Functions
- Implement data transformations and orchestration
- Ensure data quality, PII handling, and pipeline reliability
Business/Tech Impact: Drives data availability and freshness for downstream BI and AI systems, directly impacting decision-making speed. Reduces manual intervention through automation and standardized pipeline patterns.
Minimum Years of Experience: 10+ Years
Certifications Needed: NA
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Develop ETL/ELT pipelines using Glue, Airflow, Step Functions
- Implement data transformations and orchestration
Ensure data quality, PII handling, and pipeline reliability
📌 AWS Data Engineer (Melbourne)
🏢 Ampstek
📍 Melbourne
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