Application Support Engineer

Accenture PLC

Taguig

On-site

PHP 700,000 - 1,000,000

Full time

10 days ago
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Job summary

Accenture PLC in Manila is seeking an Application Support Engineer to investigate and resolve issues across essential business systems. You will work proactively to identify anomalies and coordinate with multiple teams to maintain reliable software operations.

The role requires attention to detail, strong problem-solving skills, and a collaborative mindset to drive continuous improvements in cloud data services and incident response. Office-based position in Metro Manila.

Qualifications

  • Minimum 3 years of experience with Azure Data Services.
  • Experience with Databricks Unified Data Analytics Platform is preferred.
  • Strong understanding of cloud-based data management and data pipelines.

Responsibilities

  • Act as SME, lead the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Coordinate with stakeholders to prioritize and address critical system issues promptly.
  • Facilitate knowledge sharing and continuous improvement within the team.
  • Monitor system health and proactively identify potential risks to prevent downtime.

Skills

Azure Data Services
Databricks
Python
Cloud data management

Job description

Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Summary:As an Application Support Engineer, a typical day involves investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying system anomalies and collaborating with different teams to ensure smooth and continuous operation of software applications. The position demands attentiveness to detail and a commitment to maintaining system reliability and performance in a dynamic environment.

Roles & Responsibilities
  • Expected to be an SME, collaborate and manage the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Coordinate with stakeholders to prioritize and address critical system issues promptly.
  • Facilitate knowledge sharing and continuous improvement within the team.
  • Monitor system health and proactively identify potential risks to prevent downtime.
Professional & Technical Skills
  • Required Skill: Expert proficiency in Microsoft Azure Data Services.
  • Additional Good To Have Skills: Experience with Databricks Unified Data Analytics Platform, Python (Programming Language).
  • Strong understanding of cloud-based data management and integration techniques.
  • Experience in troubleshooting and optimizing data pipelines and storage solutions.
  • Familiarity with monitoring tools and performance tuning in cloud environments.
  • Ability to analyze complex system logs and diagnose root causes effectively.
Additional Information
  • The candidate should have minimum 3 years of experience in Microsoft Azure Data Services.
  • This position is based at our Manila office.
  • Minimum 3 year(s) of experience is required

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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