Informatica-Bigdata-Hive-Hadoop-UNIX(Production Support)

Infosys Limited
Posted on
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Experience
2 - 5 yrs
Salary (CTC)
₹6.7L - ₹7.8L
Job Location
Bengaluru, India
Vacancy
1
Designation
Big Data Engineer
Job Type
Not specified

Job Description

Educational Requirements BTech,BCA,BSc,MTech,MSc,MCA
Service Line Data Analytics Unit
Responsibilities
  • Provide L2/L3 production support for Informatica ETL workflows and Big Data pipelines.
  • Monitor and support Hadoop ecosystem components (HDFS, Hive, YARN, etc.).
  • Handle incident management, root cause analysis (RCA), and issue resolution within SLA timelines.
  • Monitor batch jobs, workflows, and data loads to ensure smooth operations.
  • Troubleshoot issues related to Informatica mappings, sessions, workflows, and job failures.
  • Support and optimize Hive queries and data processing jobs.
  • Perform UNIX scripting and command-line troubleshooting for job recovery and automation.
  • Analyze logs and system metrics to identify and resolve performance bottlenecks.
  • Coordinate with development, infrastructure, and business teams for issue resolution.
  • Implement job scheduling, monitoring, and alerting mechanisms.
  • Ensure data integrity, consistency, and timely delivery.
  • Prepare incident reports, status updates, and documentation.
Additional Responsibilities:
  • 25 years of experience in Production Support / Data Support roles.
  • Strong hands-on experience in:
  • Informatica PowerCenter / IICS (preferred)
  • Hadoop ecosystem (HDFS, Hive)
  • Good knowledge of HiveQL and query optimization.
  • Strong experience in UNIX/Linux commands and shell scripting.
  • Experience in job scheduling tools (Autosys, Control-M, or similar).
  • Strong SQL skills for data analysis and troubleshooting.
  • Knowledge of ETL processes and data warehousing concepts.
  • Experience handling incident, change, and problem management (ITIL processes).
Technical and Professional Requirements:
Primary skills:Technology->Big Data - Hadoop->Hadoop,Technology->Data Management - Data Integration->Informatica
Preferred Skills:
  • Technology->Big Data - Hadoop->Hadoop->Hive
  • Technology->Data Management - Data Integration->Informatica->Informatica - Informatica Power Center

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