Lead/Senior Enterprise Data Engineer

2 weeks ago

Kannur, Kerala, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role

We seek a skilled Data Engineering professional to provide production support for enterprise-scale data platforms.

The ideal candidate has strong experience in Informatica PowerCenter, Informatica PowerExchange, Yellowbrick (or any RDBMS), Unix Shell Scripting, and Tivoli Workload Scheduler.

You will ensure seamless, reliable, and efficient data processing operations.

  • Provide L2/L3 production support for complex ETL/data integration workflows using Informatica PowerCenter and PowerExchange.
  • Monitor and troubleshoot ETL failures, data quality issues, and performance problems in batch and real-time pipelines.
  • Support and maintain data pipelines involving Yellowbrick/ Netezza or other RDBMS platforms.
  • Develop and enhance Unix Shell Scripts to automate operational and support tasks.
  • Manage job scheduling, dependencies, and batch cycles using Tivoli Workload Scheduler (TWS).
  • Perform incident triage, root cause analysis, and implement long-term fixes.
  • Collaborate with development, infrastructure, and business teams to resolve issues and drive stability.
  • Maintain and update operational documentation, SOPs, and knowledge base articles.
  • Participate in on-call rotation and adhere to SLA and escalation procedures.
Key Qualifications

We require 7 to 12 years of experience in Data Engineering/ETL with a strong focus on L2/L3 support. The ideal candidate must have expertise in Informatica PowerCenter and PowerExchange (including support for mainframe, flat files, and RDBMS sources/targets). Strong SQL and database experience with Yellowbrick or any other RDBMS (e.g., Netezza, Oracle, PostgreSQL, SQL Server) is also essential. Proficient in Unix/Linux Shell Scripting and hands-on experience with Tivoli Workload Scheduler (TWS) or equivalent job scheduling tools are necessary.

A strong problem-solving skills for production issue analysis and resolution, understanding of data warehousing concepts, job orchestration, and data quality principles, and experience with ticketing and incident management tools like ServiceNow or JIRA are highly valued. Excellent communication, documentation, and coordination skills are required.

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