Application Support Engineer - Azure / Databricks- 12 Month+ Contract | Melbourne

Ingrity

Sydney

Hybrid

AUD 150,000 - 190,000

Full time

3 days ago
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Job summary

Ingrity is seeking an experienced Azure / Databricks Application Support Engineer to join a major financial services client in Melbourne or a flexible location. You will support a production Azure/Databricks data environment, troubleshoot issues, and manage deployments and infrastructure.

Collaborate with technical and business stakeholders, maintain data pipelines, and ensure system reliability with CI/CD practices and robust DevOps tooling.

Qualifications

  • Strong hands-on experience with Azure and Databricks.
  • Experience across Azure SQL, Cosmos DB, Azure Data Factory, Blob Storage, Key Vault and Azure DevOps.
  • Strong Databricks knowledge including jobs, pipelines, notebooks, clusters, volumes, catalog/schema management and permissions.
  • Good understanding of Lakehouse and Medallion Architecture, including ELT workloads using dbt.
  • Strong knowledge of Spark / PySpark / SparkSQL, including Spark internals and using Spark UI for performance troubleshooting.
  • Experience with Terraform, Git/GitOps, YAML, JSON and Shell/Bash/PowerShell.
  • Monitoring and troubleshooting experience using Azure Log Analytics and Splunk.
  • Strong production support capability including root cause analysis, performance/resource analysis, data reconciliation and incident resolution.
  • Experience managing CI/CD pipelines, deployment dependencies, secrets/credential rotation and DR/failover processes.
  • Comfortable managing integrations and connections across APIs, JDBC and direct connectivity.
  • Strong communication skills with the ability to provide clear reporting and updates to business and technical stakeholders.

Responsibilities

  • You'll be responsible for supporting and maintaining a production Azure/Databricks data environment.
  • Troubleshooting issues, managing deployments and infrastructure.
  • Working closely with technical and business stakeholders.

Skills

Azure
Databricks
Cloud data platforms
SQL/DB knowledge
Azure DevOps
dbt
Spark / PySpark / SparkSQL
Terraform
Git/GitOps
Shell/Bash/PowerShell
REST APIs

Tools

Azure
Databricks
Azure SQL
Cosmos DB
Azure Data Factory
Blob Storage
Key Vault
Azure DevOps
dbt
Spark UI
Terraform
Git
YAML
JSON
Shell
PowerShell
Azure Log Analytics
Splunk
CI/CD pipelines
APIs
JDBC

Job description

We are currently looking for an experienced Azure / Databricks Application Support Engineer to join a major financial services client as part of their Application Support Managed Services team. This is a long-term contract opportunity (12 months+), ideally Melbourne-based, although we're flexible to consider strong candidates in other Australian locations.


Duration: 12 months+
Start: ASAP
Location: Melbourne preferred - flexible for the right person
Industry: Financial Services
Engagement: Application Support / Managed Services


The Role

You'll be responsible for supporting and maintaining a production Azure/Databricks data environment, troubleshooting issues, managing deployments and infrastructure, and working closely with technical and business stakeholders.


Key Skills & Experience


  • Strong hands-on experience with Azure and Databricks within production/application support environments.

  • Experience across Azure SQL, Cosmos DB, Azure Data Factory, Blob Storage, Key Vault and Azure DevOps.

  • Strong Databricks knowledge including jobs, pipelines, notebooks, clusters, volumes, catalog/schema management and permissions.

  • Good understanding of Lakehouse and Medallion Architecture, including ELT workloads using dbt.

  • Strong knowledge of Spark / PySpark / SparkSQL, including Spark internals and using Spark UI for performance troubleshooting.

  • Experience with Terraform, Git/GitOps, YAML, JSON and Shell/Bash/PowerShell.

  • Monitoring and troubleshooting experience using Azure Log Analytics and Splunk.

  • Strong production support capability including root cause analysis, performance/resource analysis, data reconciliation and incident resolution.

  • Experience managing CI/CD pipelines, deployment dependencies, secrets/credential rotation and DR/failover processes.

  • Comfortable managing integrations and connections across APIs, JDBC and direct connectivity.

  • Strong communication skills with the ability to provide clear reporting and updates to business and technical stakeholders.


If you have strong Azure + Databricks experience and enjoy working across application support, data platforms and cloud infrastructure, I'd be keen to hear from you.

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