Azure DevOps Engineer

Responsibilities

• Monitor, troubleshoot, and resolve issues related to data pipelines, ETL workflows, and jobs in Azure Data Factory and Azure Databricks
• Perform root cause analysis (RCA) on incidents and implement sustainable fixes to ensure minimal downtime
• Enhance and optimize existing ADF pipelines and Databricks notebooks for performance and cost-efficiency
• Write modular, reusable, and well-documented PySpark and Python code for data processing
• Implement automation solutions to minimize manual intervention in repetitive tasks
• Set up and maintain alerts and dashboards for proactive monitoring of pipelines and systems
• Collaborate with L1 support teams for incident escalation and training on best practices

Requirements

• 4.5 to 6 years of relevant experience
• Proficiency in Azure Databricks and Azure Data Factory
• Strong expertise in Data Engineering, Data Lake, and Delta Lake architectures
• Advanced skills in PySpark, Python, Spark, and SQL
• Knowledge of GenAI and Agentic AI

About the Company

Fractal is a strategic analytics partner to many of the world's most admired Fortune 500 companies. We help organizations leverage AI combined with the power of behavioral sciences to make better decisions. Our team provides cutting-edge solutions in artificial intelligence, design, engineering, and digital transformation to power every human decision in the enterprise.