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Azure Data Engineer @ Fractal Analytics

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 Azure Data Engineer

Job Description

Job Location: Bangalore / Gurgaon / Chennai / Coimbatore / Pune / Mumbai
Exp Required: 2-4 Years required, If any BE/BTech/MBA
Role Details
Need someone with strong Data Engineering skillet to ensure production related activities are delivered as per SLA. Need to work on issues/requests, bug fixes, minor changes, co-ordinate with the development team in case of any issues, work on enhancements.
Mandatory technical skills
Strong experience in Azure Data Engineering services.
o Data Factory o Azure Databricks o Storage (ADLS Gen 2)
o Web app/App service
Strong experience in Programming languages like Python, Pyspark, SQL
Hands on experience in log analytics and Application Insights.
Strong experience in Azure SQL.
Mandatory non-technical skills
Drive Incident/Problem resolution by assisting in key operational activities in terms of delivery, fixes, and supportability with operations team.
Assist in change ticket review / approvals / planning and work with internal teams.
Assist with projects being transitioned from project teams to Support teams.
Escalation points for operation-related issues
Experience working in ServiceNow is preferred.
Attention to detail a must, with focus on quality and accuracy.
Able to handle multiple tasks with appropriate priority and strong time management skills.
Flexible about work content and enthusiastic to learn.
Knowledge of service support, operation & design processes (ITIL)
Ability to handle concurrent tasks with appropriate priority.
Strong relationship skills to work with multiple stakeholders across organizational and business boundaries at all levels.
Education Qualification and Certifications required, If any BE/BTech/MBA

Job Classification

Industry: Management Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Fractal Analytics
Location(s): Noida, Gurugram

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Keyskills:   Engineering services Ticketing Time management Focus Relationship Programming ITIL Operations Analytics SQL

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