Job Details

Job Details

Data Ops Specl (Scheduler) L3
Posted On
Job Location
Delhi NCR
No. of Positions

Job Description –

Looking for Data Ops Specl (Scheduler) L3

  • Manage and monitor all Data Integration and ETL jobs.
  • Use JAMS Scheduler to develop, test and implement automated schedules that run a variety of Data Services jobs.
  • Will support all partner file exchanges. Including the management of all internal and external partner file exchange connectivity requirements.
  • Iron out technical issues and/or help in technical improvement, cascade to development teams
  • Develop and maintain logs for data trafficking into and out of the company
  • Monitor and respond to requests for Data Services (e.g., ad hoc reports, custom queries for file generation, etc.)
  • Participate in the assessment & design of jobs that require files to be exchanged with external or internal partners.
  • Establish and maintain a file retention plan for all partner exchange files using Azure cloud storage for archiving purposes.
  • Will act as a resource to ensure all activities within the Data Services group are properly tracked, that include:
  • Requests that come in through the Help Desk escalated to Data Operations
  • Requests for new Reports, Analysis apps, data extracts, or file exchanges.
  • Will use Automate to build and maintain RPA solutions.
  • Review existing data services for efficiency
  • Continuous monitoring and operation of APIs
  • Ensure accurate operations documentation in place for every Data Operations activity.
  • Will be responsible for promoting Power BI reports into production and maintain their data refresh schedules


Basic Qualifications:

  • Bachelor’s degree in a technical discipline or equivalent practical experience is required
  • Minimum two years of experience. Experience in the Financial Services consumer lending field is a strong plus.
  • Strong experience with Microsoft Office and basic working knowledge of SQL
  • SQL database experience with MS SQL Management Studio, SSIS, query data manipulation and custom reports.
  • Working in an Azure DevOps environment is a plus
  • Effective verbal and written communication skills
  • Ability to effectively plan, prioritize and organize
  • Excellent interpersonal communication skills
  • Exceptional attention to detail


Skills Required – Data Ops Specl (Scheduler)

UG: Any Graduate - Any Specialization
PG: Any Postgraduate - Any Specialization

Shift timings – Under 24/7 working environment (with rotating shifts)