Azure Digiops
Location: Bengaluru
Time Type: Full time
Job Description
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
About Fractal
What makes Fractal a GREAT fit for you? When you join Fractal, you’ll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We’re a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision.
Our people enjoy a collaborative work environment, exceptional training and career development — as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you.
Job Description
Job Description
Locations- Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, Bangalore
Experience- 4.5-6 years
Responsibilities:
1. Monitor, troubleshoot, and resolve issues related to data pipelines, ETL workflows, and jobs in Azure Data Factory and Azure Databricks.
2. Perform root cause analysis (RCA) on incidents and implement sustainable fixes to ensure minimal downtime.
3. Collaborate with L1 support teams for incident escalation and resolution.
4. Enhance and optimize existing ADF pipelines and Databricks notebooks for performance and cost-efficiency. Fine-tune PySpark code
5. Review and update pipeline configurations to align with business and technical requirements.
6. Assist in developing new features or pipelines to integrate with existing solutions based on evolving requirements.
7. Write modular, reusable, and well-documented PySpark and Python code for data processing.
8. Implement automation solutions to minimize manual intervention in repetitive tasks.
9. Work closely with stakeholders to gather requirements and provide technical solutions.
10. Document processes, workflows, and resolutions for knowledge sharing and training purposes.
11. Train L1 teams on common issues, workarounds, and best practices for data operations.
12. Set up and maintain alerts and dashboards for proactive monitoring of pipelines and systems.
13. Prepare regular reports on system performance, incident trends, and SLA compliance
Mandatory:
Azure Databricks, Azure Data Factory, Databricks, Data Engineering, Data Lake, Delta lake, PySpark, Python, Spark, SQL, GenAI, Agentic AI
Good to have:
GenAI, Agentic AI
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related Queries
India: [email protected]
Outside India: [email protected]
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