Informatica-Bigdata-Hive-Hadoop-UNIX Professional (Hyderabad)

Informatica-Bigdata-Hive-Hadoop-UNIX Professional (Hyderabad)

07 Aug
|
Infosys
|
Hyderabad

07 Aug

Infosys

Hyderabad

Educational Requirements

Bachelor of Engineering

Service Line

Data Analytics Unit

Responsibilities

Key Responsibilities

- Production Support Incident Management
- Provide L2/L3 support for Big Data and ETL applications
- Monitor batch jobs, workflows, and data pipelines (24/7 support model if required)
- Troubleshoot Informatica workflows, Hadoop/Hive jobs, and UNIX scripts
- Perform root cause analysis (RCA) and ensure timely resolution of incidents
- Track and resolve SLA breaches, P1/P2 incidents
- ETL Data Pipeline Support
- Support and maintain Informatica PowerCenter / IICS workflows
- Debug ETL failures, data mismatches, and performance issues
- Perform data validation and reconciliation across systems
- Handle data ingestion and transformation pipelines
- Big Data / Hadoop Ecosystem
- Troubleshoot issues in: Hadoop (HDFS, YARN)
- Hive queries and performance tuning
- Spark jobs (basic to intermediate exposure preferred)
- Analyze logs, optimize queries, and ensure smooth data processing
- Unix Scripting
- Develop and support Shell scripts for automation
- Analyze logs, manage file movements, job scheduling, and cron jobs
- Automate repetitive support activities
- Monitoring Tools
- Work with scheduling tools: Autosys / Control-M / Airflow
- Use monitoring and ticketing tools: ServiceNow / Jira
- Proactively monitor systems and prevent failures
- Performance Optimization
- Identify bottlenecks in ETL and Big Data workloads
- Optimize Hive queries, partitioning, and indexing strategies




- Improve job execution time and system stability
- Stakeholder Coordination
- Collaborate with: Development teams, Business stakeholders, Infrastructure teams
- Communicate status updates and incident reports clearly

Required Skills

Core Technical Skills

- Informatica PowerCenter / IICS (strong exposure)
- Hadoop ecosystem (HDFS, YARN, MapReduce basics)
- Hive (advanced querying tuning)
- UNIX/Linux + Shell scripting
- SQL (advanced)

Production Support Skills

- Incident problem management
- RCA and debugging expertise
- Batch monitoring and job scheduling
- SLA-driven environment experience

Additional Responsibilities
- Primary skills: Process-Informatica, Bigdata, Production support,Unix,Hadoop,Hive LOC - HYD

Technical and Qualified Requirements
- Primary skills:Process->Maintenance and Production Support process->Support Process - Transition,Technology->Data Management - Data Integration Administration->Informatica Administration,Technology->Data Management - Data Integration->Informatica,Technology->Finacle-Core-Payments->SWIFT->Master

Preferred Skills
- Technology->Data Management - Data Integration->Informatica->Informatica - Informatica Power Center
- Foundational->Maintenance and Production Support process->Support Process - Transition
- Technology->Data Management - Data Integration Administration->Informatica Administration
- Technology->Data on Cloud - Datastore->Cloud based Integration Platforms->Informatica Intelligent Cloud services(IICS)

📌 Informatica-Bigdata-Hive-Hadoop-UNIX Professional (Hyderabad)
🏢 Infosys
📍 Hyderabad

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