Cloud Data Ops Engineer – Production & Automation Support

Accenture Australia

Melbourne

On-site

AUD 110,000 - 150,000

Full time

24 hours ago
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Benefits offered by this job

18 weeks paid parental leave
Long & short-term career break机会
Structured career development program
Local and international career机会
Certified as a Family Inclusive Workpl

Job summary

Accenture Australia is seeking a Support Engineer - Data to operate, support and maintain cloud-based data solutions, leveraging automation and standardised operational processes. You will manage cloud environments following security guidelines and collaborate with Engineering, Development and platform teams to resolve incidents.

The role covers incident, problem and change management, data pipelines, ETL reviews, and continuous improvement of procedures.

Qualifications

  • Tertiary qualification in Information Technology or a related discipline is preferred.
  • Process-oriented approach with strong attention to detail and a commitment to operational quality.
  • Good understanding of ITIL principles and service management practices.
  • Understanding of IT incident, change and problem management processes.
  • Ability to engage effectively with both Business and IT teams.
  • Strong communication and stakeholder management skills.
  • Customer-centric approach with the ability to understand operational impacts and prioritise service outcomes.
  • Ability to communicate technical issues, risks and resolutions clearly to technical and non-technical stakeholders.
  • Ability to work collaboratively across cross-functional teams and coordinate activities through to resolution.
  • Sound understanding of enterprise IT systems, integrations and dependencies is advantageous.
  • Relevant Azure, Snowflake or other cloud technology certifications are highly regarded.

Responsibilities

  • Operate, support and maintain cloud-based data solutions, leveraging automation and standardised operational processes.
  • Manage cloud environments in accordance with company security guidelines, standards and platform requirements.
  • Support, troubleshoot and resolve incidents affecting data applications, pipelines, cloud infrastructure and production services.
  • Conduct root cause analysis and problem rectification, implementing corrective and preventative actions to reduce incident recurrence.
  • Build, modify and support data pipelines to accommodate operational requirements and changes in data structures.
  • Review ETL pipelines, code and deployments from a support and operational perspective to ensure consistency, quality and production readiness.
  • Work collaboratively with Engineering, Development and upstream/downstream system teams to resolve production issues and minimise impacts to applications and key SLAs.
  • Liaise with business stakeholders, platform teams, cloud vendors and service providers to investigate and resolve application, infrastructure and production issues.
  • Maintain and continuously improve support procedures, operational documentation, troubleshooting guides and production best practices.
  • Identify gaps in existing support and operational processes and contribute to service, reliability and process improvements.
  • Support cloud deployments and production changes, ensuring appropriate operational controls and best practices are followed.
  • Provide technical support and guidance to stakeholders on data-platform applications, services and cloud technologies.

Skills

Cloud Operations
Incident management
Data pipelines
Azure
Snowflake
Databricks
Python/SQL
CI/CD
Jira/Confluence

Education

Tertiary qualification in Information Technology or related discipline

Tools

Azure Data Factory
ADLS
Key Vault
Azure Functions
Databricks
Snowflake
Git
Confluence
Jira
Control-M

Job description

Accenture Australia is seeking a Support Engineer - Data to operate, support and maintain cloud-based data solutions, leveraging automation and standardised operational processes. You will manage cloud environments following security guidelines and collaborate with Engineering, Development and platform teams to resolve incidents.

The role covers incident, problem and change management, data pipelines, ETL reviews, and continuous improvement of procedures.

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