In-Demand Cloud & devops engineer Jobs in Melbourne, Vic

Data Engineer – Databricks
Diksha Technologies —Melbourne VIC
- $800 - $900 a day
- Contract
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
7h
Senior Backend Engineer - Engine
Easygo —Melbourne VIC
- AI
- Employee assistance program
Quick Apply
Senior Architect (Australia)
Arcanys —Carlton VIC
- Full-time
- Azure
- DevOps
- Software development
Quick Apply
Principal Cloud Engineer
Department of Energy, Environment and Climate Action —Melbourne VIC
- Part-time
- Hybrid work
- Azure
- Management
- AWS
3h
Data Engineer
Victoria Legal Aid —Melbourne VIC
- $113,668 - $131,153 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Commuter assistance
- Work from home
2h

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DevOps Engineer
Tata Consultancy Services —Melbourne VIC
Strong hands-on experience as a DevOps Engineer in enterprise environments. Proven experience designing and implementing CI/CD pipelines.
Data Engineer – Databricks
Diksha Technologies —Melbourne VIC
We are looking for an experienced *Data Engineer* with strong expertise in *Databricks, Azure Data Factory (ADF), Python, SQL, and Apache Spark*.
$800 - $900 a day
Quick Apply
7h

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cloud & devops engineer jobs near melbourne, vic

Data Engineer – Databricks

Diksha Technologies -
Melbourne VIC

Quick Apply

Job Details

Contract
$800 - $900 a day
7 hours ago

Qualifications

CI/CD
Azure
Azure Data Lake
DevOps
Git
SQL
Security
Communication skills
Data warehouse

Full Job Description

Role Overview

We are looking for an experienced Data Engineer with strong expertise in Databricks, Azure Data Factory (ADF), Python, SQL, and Apache Spark. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data processing solutions.

Key Responsibilities

Design and develop scalable data pipelines using Databricks and Apache Spark.
Build and maintain ETL/ELT workflows using Azure Data Factory (ADF).
Develop efficient data processing solutions using Python and PySpark.
Write complex SQL queries for data transformation, validation, and analysis.
Work with large datasets and optimize Spark jobs and data pipelines for performance.
Implement data quality, validation, monitoring, and error-handling processes.
Collaborate with Data Architects, Analysts, Developers, and business stakeholders.
Troubleshoot data pipeline failures and resolve performance issues.
Follow best practices for data security, governance, and documentation.

Required Skills

Strong hands-on experience with Databricks.
Proficiency in Apache Spark / PySpark.
Strong programming skills in Python.
Advanced knowledge of SQL.
Hands-on experience with Azure Data Factory (ADF).
Good understanding of ETL/ELT concepts and data warehousing.
Experience working with cloud-based data platforms, preferably Microsoft Azure.
Strong problem-solving and communication skills.

Good to Have

Experience with Delta Lake / Delta Tables.
Knowledge of Azure Data Lake Storage (ADLS).
Experience with CI/CD and version control tools such as Git/Azure DevOps.
Understanding of data governance and security practices.

Pay: $800.00 – $900.00 per day

Work Location: Hybrid remote in Melbourne VIC

Quick Apply

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cloud & devops engineer jobs in melbourne, vic

Data Engineer – Databricks

Senior Backend Engineer - Engine

Senior Architect (Australia)

Principal Cloud Engineer

Data Engineer

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