We are looking for an experienced Data Engineer (9–14 Years) to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS.
- Design and develop scalable batch and real‑time data ingestion frameworks.
- Build and optimize data pipelines using AWS services and modern data engineering practices.
- Develop low‑latency streaming solutions using Kinesis, Kafka, or similar technologies.
- Implement data transformations, orchestration workflows, and monitoring solutions.
- Work with Data Warehouses, Data Lakes,
and Lakehouse architectures.
- Collaborate with cross-functional teams to deliver robust and scalable data solutions.
Required Experience
- Solid expertise in AWS, Python, PySpark, Airflow, and Redshift.
- Hands‑on experience with SageMaker Unified Studio.
- Experience with relational and NoSQL databases (Oracle, MongoDB, DynamoDB, Snowflake, Teradata, etc.).
- Proven experience building real‑time and batch data pipelines.
- Knowledge of CI/CD, Git, Infrastructure as Code (Terraform/CloudFormation).
- Data Modelling experience is highly desirable.
#J-18808-Ljbffr
📌 Data Engineer-NSW (City of Sydney)
🏢 The HR Ally
📍 City of Sydney
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.