ETL Support

4 days ago

Bengaluru, Karnataka, India BNP Paribas Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Position Purpose

The candidate will be responsible to Handle ETL and reporting support team. The candidate should be self-motivated. He/She should proactive in issue handling and propose the best practices. The candidate should have experience in Unix and RDBMS concepts. Primary skill should be Python & Autosys

Responsibilities

Direct Responsibilities

  • Experience in a hands-on Python framework for datalake project application-level support
  • Experienced in Problem and Incident Management while working in an ITIL environment
  • Experience with supporting spark ecosystem & Autosys jobs.
  • Knowledge and previous work experience using ticketing systems (ServiceNow).
  • Desirable: previous experience with RDBMS.

Contributing Responsibilities

  • Understand and remain fully aware of the business processes automated on the production platform.
  • Participate to Resiliency events (Disaster Recovery, Sustained Resiliency, etc.) to ensure Business Continuity objectives were met.
  • Maintains effective relationships with core and extended program team members, peers, senior stakeholders and business managers.
  • Willingness to learn complex applications and Workflows.
  • Excellent oral, written and interpersonal skills
  • Time management skills and Smart working.
  • Must be able to work closely with end users and developers

Technical & Behavioral Competencies

Excellent communication skills with the ability to present technical concepts to a non-technical audience.

  • Good knowledge and exposure to Python library like (Panda, ulib, subprocess, OS,Csv,pys , shutil , Etc.,)
  • Experience in monitoring/handling process like scheduling tool like Autosys.
  • Experience in Jenkin migration and deployment.
  • Good knowledge in UNIX commands and shell scripting.
  • Experience of troubleshooting issues related to Python & mssql.

Secondary Skills

  • Knowledge on MSBI.
  • Could concet & teraform
  • Spark ecosystem understating

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