Data Engineer

The HR Ally

Job Location:

Sydney - Australia

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Data Engineer Sydney NSW

We are looking for an experienced Data Engineer (914 Years) to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS.

Must Have Skills

AWS Cloud Services
Python & PySpark
Apache Airflow (MWAA)
SQL
Amazon Redshift
AWS SageMaker Unified Studio
AWS Kinesis / Kafka (Real-Time Streaming)

Key Responsibilities

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

Strong 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.

Please Note: Sponsorship is not available. Only Australian/NZ Citizens and Permanent Residents (PR) will be considered.

Data Engineer Sydney NSW We are looking for an experienced Data Engineer (914 Years) to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS. Must Have Skills AWS Cloud ServicesPython & PySparkApache Airflow (MWAA)SQLAmazon RedshiftAWS SageMaker...