Net Connect Pvt Ltd

Hadoop Support

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Pune
  • Experience: 4-6yrs
  • No. of Positions: 10
  • Salary Range: 9-18 lac
  • Primary Skills: Hadoop Kafka Spark Data Warehousing
  • Secondary Skills: ETL
  • Job Location: Pune
  • Posted Date: 384 days ago
Job Description

 

Job Description

 

Experience: 4-6 yrs

 

Location: Bangalore/Pune/Chennai

 

Notice Period: 0-20 Days

 

Recruiter: Rakhi

 

Job Requirements:

 

The overall purpose of role Support Analyst reporting to Big Data Support Lead - take responsibility for: 

 

  • Delivery of 2ndLine Application Support services for application(s) under support.
  • Maintain system availability and supplementary services within SLA 
  • Ongoing liaison with Shared services team and IS to manage SLA expectations 
  • Ongoing liaison with Barclaycard C&C, BIMs/MIMs to manage escalated incidents. 
  • Maintain a proactive presence in providing help and guidance to Business operations.
  • Transitioning changes successfully in production 
  • Working effectively with stakeholders within technology and operations  Key Accountabilities Application Support 
  • Pro-actively keep informed of current and past Incidents, Problems, and Known Errors (e.g. if there is a network outage, all Service Desk staff are to be aware)
  • If applicable, escalate to the Incident Management Process Manager 
  • Maintain all formal controls, documents, and records to auditable levels and in compliance with current AD Application Support operation procedures and documentation standards
  • Ensure key application functions and scheduled activities are completed in a timely manner and within SLA Application Support / Technical Competencies 
  • Good knowledge of Tools like Service Now, Service First, Service Watch, Service Manager, TWS 
  • Prior experience in application support is desirable, but not mandatory
  • Application Support, & Maintenance • Understanding of Data Warehousing and ETL concepts •  Expert in Hadoop Architecture and its tech suite of  Kudu, Kafka, Yarn, Spark, HDFS,  • Proficient in performance tuning and optimization techniques •  Good knowledge of scheduling tools.
  • Unix •  Good understanding of Unix Commands related to file handling, process management.  • Experience in Unix Shell Scripting to automate manual activities.

 

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