Informatica + Big Data + Hive + Hadoop + UNIX Production Support

Responsibilities :

Required Technical Skills Strong hands-on experience in Informatica (PowerCenter or similar ETL tools) Strong experience in Big Data technologies (Hive, Hadoop ecosystem) Deep expertise in UNIX/Linux and shell scripting Extensive experience in production support / data platform support environments Expertise in troubleshooting ETL failures, data pipeline issues, Hive/Hadoop job failures Strong knowledge of batch processing, job scheduling, and dependency management Strong SQL/HiveQL skills for data analysis and issue resolution Experience with incident management tools (ServiceNow, Remedy, JIRA, etc.) Strong understanding of SLA management, escalation handling, and support reporting Experience in performance tuning and optimization in Big Data environments Strong analytical, debugging, and problem-solving capabilities Preferred Skills Experience in enterprise-scale data warehousing environments Familiarity with scheduling tools like Control-M, Autosys, or similar Exposure to cloud-based data platforms Experience in support automation and monitoring dashboards Knowledge of data governance and compliance practices Proven experience in team mentoring and support management

Additional Responsibilities:

Desired Candidate Profile 9-15 years of relevant IT experience Strong experience in Informatica + Big Data + Hive + Hadoop + UNIX production support Proven expertise in handling critical incidents, escalations, and L3 support environments Strong troubleshooting skills across ETL, Big Data, and UNIX layers Experience working in 24/7 support environments (if required) Excellent stakeholder management and communication skills Ability to lead support teams and handle high-pressure situations Educational Qualification Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline Work Location Hyderabad (HYD)

Technical and Professional Requirements:

Experience in enterprise-scale data warehousing environments Familiarity with scheduling tools like Control-M, Autosys, or similar Exposure to cloud-based data platforms Experience in support automation and monitoring dashboards Knowledge of data governance and compliance practices Proven experience in team mentoring and support management