
Enterprise Data Solutions Specialist
1 week ago
We seek a highly skilled and experienced Enterprise Data Solutions Specialist to join our team. This role requires a strong background in data engineering, with expertise in Informatica PowerCenter, Unix Shell Scripting, and Tivoli Workload Scheduler.
The ideal candidate will have experience in providing L2 and L3 production support for enterprise-scale data platforms, as well as developing and enhancing Unix Shell Scripts to automate operational and support tasks.
The successful candidate will also have strong problem-solving skills for production issue analysis and resolution, as well as excellent communication and documentation skills.
Key Responsibilities:
- 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.
Required Skills and Qualifications:
- 7 to 12 years of experience in Data Engineering/ETL with a strong focus on L2/L3 support.
- 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).
- Proficient in Unix/Linux Shell Scripting.
- Hands-on experience with Tivoli Workload Scheduler (TWS) or equivalent job scheduling tools.
- Strong problem-solving skills for production issue analysis and resolution.
- Understanding of data warehousing concepts, job orchestration, and data quality principles.
- Experience with ticketing and incident management tools like ServiceNow or JIRA.
- Excellent communication, documentation, and coordination skills.
Desired Skills:
- Experience with additional RDBMS platforms.
- Knowledge of data quality principles.
- Familiarity with incident management tools.
Acknowledgments:
We appreciate all applicants' interest in this position. Unfortunately, only those selected for an interview will be contacted.
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