at Accenture
ConsultanciesPosted 14 days ago
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**Job Title:** L2 Application Support Engineer (6462737) Provide level-2 production support for critical applications and data platforms, monitoring, diagnosing, and resolving incidents. Expertise in Airflow, Dagster, ξasys, Maestro, and SQL databases (Dremio, PostgreSQL) required, along with strong comfort in Grafana, Splunk, and data validation. Collaborate cross-functionally to coordinate with stakeholders and engineering teams for resolution. Minimum 3-5 years' experience needed in similar roles.
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Full Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
We are looking for an L2 Support Engineer with strong production support experience to monitor, troubleshoot, and support critical applications and data platforms. The candidate should have excellent analytical, monitoring, and incident management skills and be comfortable working with both business stakeholders and technical teams.
Key Responsibilities:
- Provide L2 production support for applications and data platforms. Monitor, diagnose, and resolve production incidents and service requests.
- Support ETL workflows and data pipelines using Airflow, Dagster, Autosys, and Maestro.
- Troubleshoot data platform issues involving Dremio, SQL, and PostgreSQL. Use Grafana and Splunk for monitoring, alerting, and log analysis.
- Perform SQL-based data validation, reconciliation, and issue investigation. Coordinate with business stakeholders and engineering teams to drive issue resolution.
- Participate in incident management, RCA, and change/release support activities.
