Azure Digiops
Fractal Analytics · Bengaluru, Karnataka, India
Full-time · Senior · Posted 21 days ago
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. Job
Description 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: HiringsupportIndia@fractal.ai Outside India:
HiringsupportROW@fractal.ai This inbox does not process resume submissions. All
applications must be made through posted job openings Not the right fit? Let us
know you're interested in a future opportunity by clicking Introduce Yourself in
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new job postings become available that meet your interest! India:
HiringsupportIndia@fractal.ai Outside India: HiringsupportROW@fractal.ai This
inbox does not process resume submissions. All applications must be made through
posted job openings At Fractal, towards our goal of “powering every human
decision in the enterprise”, our partnerships and alliances help in creating and
delivering a compelling suite of solutions to unlock value. We partner with
companies from around the globe, leaders in their respective fields. With
Fractal’s expertise in artificial intelligence, design, engineering, and digital
transformation, combined with the data, technology, and software platforms from
our partners, we create cutting-edge solutions to problems in the business
world. We understand how critical and timely decision triggers, and information,
empower our clients to create, unlock, deliver, and realize value. Together with
our partners, our goal is to serve each client in their end-to-end
data-to-decision journey.