In-Demand Aws data engineer Jobs in Sydney, Nsw

AWS Data Engineer
CareCone Australia —Sydney NSW
- $94,345.86 - $173,391.69 a year
- Full-time
- Management
- Databases
- AWS
Quick Apply
Data Engineer
Vapar —Sydney NSW
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Data analysis skills
- Travel reimbursement
- Employee stock purchase plan
Quick Apply
AWS Data Engineer
Accenture —Sydney NSW
- Full-time
- DevOps
- SQL
- AWS
AWS Data Engineer
Tata Consultancy Services —Sydney NSW
- AWS
- APIs
4d
Data Engineer (Spaceship)
Spaceship —Sydney NSW
- From $9,200 a month
- Full-time
- Azure
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
7d
AWS-Data Engineer
Tata Consultancy Services —Sydney NSW
- SQL
- AWS
- APIs
Data Center Technical Operations Engineer, AWS Infrastructure Operations
Amazon Corporate Services Pty Ltd —Sydney NSW
- 12 hour shift
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Senior Data Engineer (Databricks, GCP, AWS)
Simple Machines —Sydney NSW
- Full-time
- Hybrid work
- SQL
- AWS
- Bachelor's degree
Quick Apply
Partner AI Deployment Engineer - AWS
OpenAI —Sydney NSW
- Full-time
- Hybrid work
- AWS
- No degree
- AI
- Relocation assistance
12d
Machine Learning Engineer / Data Scientist
The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI
Platform / Cloud Engineer
WeMoney —Surry Hills NSW
- $12,500 - $14,000 a month
- Full-time
- Azure
- AWS
- In-person
- Health insurance
- Dental insurance
Quick Apply
AWS Cloud Engineer
Accenture —Sydney NSW
- Full-time
- Computer Science
- AWS
- Education
Senior Data Engineer – Financial Services (GCP & AWS)
Tech Domain —Sydney NSW
- $30 - $40 an hour
- Full-time
- English
- SQL
- AWS
Quick Apply
7d
Senior Data Engineer (AWS) - 12 Months Fixed Term Contract
Commonwealth Bank —Sydney NSW
- Full-time
- Engineering
- SQL
- AWS
5d
Senior Data Engineer (AWS Cloud, API Integration)
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- AWS
- Scripting
6d
AI Engineer - AI and Data
EY —Sydney NSW
- Azure
- AWS
- Recruiting
- Parental leave
Data Engineer
Virgin Australia —Sydney NSW
- Full-time
- Remote
- Azure
- Data analysis skills
- SQL
- Work from home
- Employee assistance program
11d
Database Engineer - AWS Aurora
The Argyle Network —Sydney NSW
- $130,000 a year
- Full-time
- Hybrid work
- AWS
- Financial services
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Data, AI, and Machine Learning | Multiple Opportunities Available
Deloitte —Sydney NSW
- Azure
- Engineering
- Master's degree
- Parental leave

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aws data engineer jobs near sydney, nsw

AWS Data Engineer

CareCone Australia
Sydney NSW

Quick Apply

Job Details

Full-time
$94,345.86 - $173,391.69 a year

Qualifications

CI/CD
Data modelling
Management
Test automation
NoSQL
Git
MongoDB
Databases
AWS
Version control systems
Terrafrom
SDKs
Scripting
Data pipeline
Software development
APIs
Security
Scalability
S3
Teradata
Redshift
DynamoDB
AI
RDS database
Data warehouse
AWS CloudFormation
Design patterns

Full Job Description

Job Title : AWS Data Engineer

Location :Sydney

Mode:Permanent

Job Description:

Senior Data Engineer -

Skillset

● AWS SageMaker Unified Studio Expertise:

● Proficiency with AWS SageMaker Unified Studio, including its various components Discover, Build and Govern.

● Experience with development in Sagemaker IDE and Application (Jupyterlab, Spaces and Partner AI Apps).

● Data Analysis and Integrations ( Query Editor, Visual ETL Jobs and Data Processing jobs)

● Orchestration of workflows and ML Pipelines

● Understanding and expertise to work with ML and Gen AI tools available in unified studio are ad-on values.

● Setting up projects and data governance in SageMaker Unified studio

● Advanced Data Ingestion & Processing (Real-time & Batch):

● Framework Development: Proven ability to design, develop, and implement highly reusable and adaptable data ingestion frameworks capable of handling diverse source types (e.g., databases, APIs, message queues, file systems).

● Low-Latency Real-time: Deep expertise in building real-time data pipelines with stringent sub-second latency requirements, utilising services like AWS Kinesis (Data Streams/Firehose), Apache Kafka, or similar streaming technologies.

● Batch Processing: Experience with robust batch ingestion patterns and tools (e.g., AWS Glue, Apache Spark) for efficient processing of larger datasets.

● Data Transformation: Strong skills in designing and implementing efficient data transformation logic for both streaming and batch data.

● Programming and Scripting:

● Advanced proficiency in Python, particularly for developing scalable data ingestion and export frameworks, API integration, and extensive use of the AWS SDK (Boto3).

● Experience with performance optimisation techniques for Python applications in data-intensive environments.

● Familiarity with other relevant languages (e.g., Scala, Spark) for high-performance streaming applications is beneficial.

● AWS Services for Data and Infrastructure:

● In-depth knowledge of core AWS services: Lambda, S3, DynamoDB, CloudWatch, SQS, SNS, and API Gateway.

● Strong understanding of AWS networking (VPC, security groups, private endpoints) and IAM for secure, fine-grained access control.

● Databases (Relational and No-SQL):

■ Expertise with Amazon RDS (Relational Database Service) for both real-time data ingestion and efficient batch export. This includes optimising database performance, connection pooling, and transaction management for high-throughput, low-latency operations.

■ Proficiency with Amazon Redshift for large-scale data warehousing, including data loading strategies (e.g., COPY command), query optimisation, and managing Redshift clusters for analytical workloads and batch export.

■ Experience with No-SQL databases such as Amazon DynamoDB, MongoDB for high-performance, low-latency data storage and retrieval, particularly for real-time applications and feature serving.

● Orchestration and Workflow Management:

● Experience with AWS Managed Apache Airflow (MWAA) for orchestrating complex data pipelines, scheduling batch jobs, and managing dependencies between ingestion, processing, and export tasks.

● Ability to write, deploy, and manage Airflow DAGs (Directed Acyclic Graphs) for robust workflow automation.

● Monitoring and Observability (Real-time Heartbeat Export):

● Ability to design and implement comprehensive real-time monitoring solutions, including custom metrics, detailed logging, and tracing.

● Experience with AWS CloudWatch for collecting, analysing, and acting on operational data, specifically for generating and exporting "heartbeat" signals to external systems or dashboards.

● Knowledge of setting up proactive alerts and automated notifications for system health, performance degradation, and data pipeline anomalies.

● Software Development Practices & Architecture:

● Strong understanding of software engineering principles, design patterns, and architectural best practices for building scalable, maintainable, and reusable data frameworks.

● Proficiency with version control systems (Git) and collaborative development workflows.

● Experience with CI/CD pipelines for automated testing, deployment, and release management of data ingestion and export solutions.

● Familiarity with Infrastructure as Code (e.g., AWS CloudFormation, Terraform) for managing and provisioning AWS resources

Key Skillset:

1. Previous experience in developing framework for batch and real time data ingestions in relation and no-sql databases or filesystems.

2. Previous experience in Real time data ingestion with low latency with experience on AWS Kinesis Stream, Apache Kafka or similar streaming technologies

3. Proven experience in various database technologies (e.g. Oracle, Teradata, MongoDB, Snowflake etc)

4. Sound knowledge and experience in building Data Warehouses and Data Lakehouses.

5. Data Modeling experience is a plus point

. Interested candidates can send their updated resume to [email protected] or reach me @ M: 61281982279

Pay: $94,345.86 – $173,391.69 per year

Work Location: In person

Quick Apply

Refine Your Search

aws data engineer jobs in sydney, nsw

AWS Data Engineer

Data Engineer

AWS Data Engineer

AWS Data Engineer

Data Engineer (Spaceship)

AWS-Data Engineer

Data Center Technical Operations Engineer, AWS Infrastructure Operations

Senior Data Engineer (Databricks, GCP, AWS)

Partner AI Deployment Engineer - AWS

Machine Learning Engineer / Data Scientist

Platform / Cloud Engineer

AWS Cloud Engineer

Senior Data Engineer – Financial Services (GCP & AWS)

Senior Data Engineer (AWS) - 12 Months Fixed Term Contract

Senior Data Engineer (AWS Cloud, API Integration)

AI Engineer - AI and Data

Data Engineer

Database Engineer - AWS Aurora

Machine Learning Engineer - Capital Investment - Data & AI - Sydney

Data, AI, and Machine Learning | Multiple Opportunities Available

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