Data Engineer

Specific Accountability

The candidate should have a strong foundation in Informatica Big Data Management, including development, maintenance, and support.
ETL and Data Integration: A deep understanding of ETL concepts, data integration methodologies, and data warehousing is essential.
SQL and Database Management: Proficiency in SQL and experience with database management systems such as Hive, Oracle, SQL Server, or others.
Scripting: Familiarity with scripting languages like Unix/Linux Shell scripting can be beneficial.
Problem-Solving: Strong problem-solving skills are crucial for identifying and resolving production issues efficiently.
Cloud Technology: Would be a plus if the Candidate have an exposure to Azure, AWS.

Support: Support Specialist

Qualification

Production Support: Monitor and maintain Informatica BDM Environments, actively resolving production issues, and ensuring high availability.
Development and Enhancement: Develop, maintain, and optimize ETL workflows and mappings. Gather requirements for new data integration solutions and enhancements.
Documentation and Knowledge Sharing: Maintain comprehensive documentation of ETL processes and share knowledge with team members. Assist in training new team members.
Quality Assurance: Implement data validation checks and quality controls to ensure data accuracy.
Performance Tuning: Monitor and optimize Informatica workflows and mappings to improve performance.
Collaboration: Work closely with business stakeholders and cross-functional teams to troubleshoot and resolve data integration-related problems.
On-Call Support: Provide on-call support as needed to address critical production incidents.