Base Career helps you apply smarter for this job.
Key skills for this role
Full-time | Permanent (On-Call Requirement)
Support and maintain Azure-based data solutions, including: Azure Data Factory (ADF) pipelines, dataset, linked service, trigger Azure Databricks (Spark jobs, notebooks, clusters) Azure Machine Learning models and endpoints Power BI dashboards and dataset refreshes
Azure Data Factory (ADF) pipelines, dataset, linked service, trigger
Azure Databricks (Spark jobs, notebooks, clusters)
Azure Machine Learning models and endpoints
Power BI dashboards and dataset refreshes
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Riyadh, KSA
Accenture is seeking a Technology Strategy Consultant to assess technology landscapes, develop operating models and business cases, and shape technology strategy. The consultant will collaborate across teams, create thou
Calgary, CAN
Accenture is seeking a senior analyst to deliver Dassault Systèmes 3DEXPERIENCE and manufacturing IT solutions for engineering and manufacturing clients. The role covers requirements, solution design, configuration, test
Toronto, CAN
Accenture is seeking a ServiceNow Business Process Consultant to design, optimize, and implement client business processes on the ServiceNow platform. The role requires a business-related degree or diploma, at least four
Navi Mumbai, IND
Hyderabad, IND
Bengaluru, IND
Mumbai, IND
Bengaluru, IND
Riyadh, KSA
Calgary, CAN
Toronto, CAN
Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting.
Knowledge in maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML models deployments.
Develop automation scripts using Python, PowerShell, or Bash to reduce manual intervention and improve service reliability.
Write, optimize, and troubleshoot SQL queries for: Data validation Root cause analysis Report troubleshooting
Data validation
Root cause analysis
Report troubleshooting
Support and maintain data warehouse environments , such as: Azure Synapse Analytics SQL Server / Azure SQL DB Snowflake or BigQuery (optional, if used in hybrid environments)
Azure Synapse Analytics
SQL Server / Azure SQL DB
Snowflake or BigQuery (optional, if used in hybrid environments)
Monitor ETL performance and investigate slow-running queries and data load failures.
Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards.
Perform root cause analysis (RCA) and provide short-term and long-term solutions.
Develop and implement self-healing automation for recurring failures.
Provide L2/L3 support aligned with ITIL practices (incident, problem, change management).
Participate in on-call rotations and handle critical incident response.
Maintain detailed SOPs, runbooks, knowledge base articles, and client documentation.
Azure Data Factory (ADF): pipelines, triggers, parameterization, monitoring
Azure Databricks: Spark, notebooks, job orchestration
Azure Machine Learning: pipelines, model deployment, monitoring
Power BI Service: dataset refreshes, access control, report diagnostics
CI/CD: Azure DevOps, GitHub Actions, YAML pipelines
Scripting: Python, PowerShell
Monitoring: Azure Monitor, Log Analytics, Alerts, Application Insights
SQL skills for debugging, data validation, and optimization
Experience with Azure SQL DB, or SQL Server
Familiarity with data modeling concepts and warehouse performance tuning
Strong troubleshooting and analytical skills for root cause analysis
Exposure to ITSM tools (e.g., ServiceNow, Jira)
Core business hours (08:30- 17:30) with rotational on-call support (1 in 4 weeks)
Flexibility for off-hours/weekend support during critical deployments or outages
Be part of a high-impact team managing enterprise-scale Azure solutions
Work on the intersection of data, AI, DevOps, and automation
Opportunities to grow across data engineering, MLOps, and cloud automation
A dynamic, learning-focused work environment with cutting-edge tools and processes
.
Verified company details for this employer are not available yet.
Full-time
Mid
Hybrid
Apply faster on company sites with our extension.