Azure Digiops
Tasks
- Automate repetitive data tasks
- Develop new data pipelines and features
- Document workflows and resolutions
- Gather requirements and deliver technical solutions
- Monitor data pipelines and ETL workflows
- Optimize Azure Data Factory pipelines for performance and cost
- Prepare reports on performance incident trends and SLA compliance
- Resolve incidents using root cause analysis
- Review and update pipeline configurations
- Set up alerts and dashboards
- Train L1 teams on data operations
- Troubleshoot Azure Data Factory jobs
- Tune PySpark code
- Write modular reusable PySpark and Python code
Perks/Benefits
- Career development
- Collaborative work environment
- Exceptional training
- Proactive monitoring via alerts
- Supportive team
- Unlimited growth opportunities
Skills/Tech-stack
Apache Spark | Automation | Azure Data | Azure Data Factory | Azure Databricks | Cause analysis | Data Factory | Data Lake | Data Pipeline Monitoring | Data pipeline | Delta Lake | ETL | Incident Management | Pipeline monitoring | PySpark | Python | Root Cause Analysis | Root cause | SQL
Education
N/A
Roles
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