As a Production Support Lead, you're responsible for ensuring the data warehouse operates smoothly and reliably, including incident management, performance optimization, and collaborating with other teams to maintain data quality and system stability. 

Responsibilities Include:

Lead the process of identifying, prioritizing, and resolving production issues, ensuring minimal disruption to business operations.  Investigate and identify the root causes of incidents to prevent recurrence.  Maintain clear and timely communication with stakeholders, including business users, IT teams, and management, throughout the incident lifecycle.  Continuously monitor the data warehouse's performance, identifying bottlenecks and areas for improvement.  Implement performance tuning techniques to optimize query execution times, ETL processes, and overall system performance.  Collaborate with other teams to ensure the data warehouse has sufficient resources to meet current and future demands.  Implement and maintain data validation processes to ensure the accuracy and integrity of data in the data warehouse.  Address data quality issues, including data cleansing and transformation, to ensure data accuracy and consistency.  Participate in the planning and execution of data warehouse releases, ensuring minimal disruption to production operations.  Test new releases and changes to the data warehouse environment to ensure stability and functionality.  Build and maintain strong relationships with business users, IT teams, and other stakeholders.  Maintain comprehensive documentation of the data warehouse architecture, processes, and procedures.  Possess a strong understanding of data warehouse technologies, ETL processes, and database management systems.  Demonstrate strong analytical and problem-solving skills to effectively address technical issues and challenges.  Lead and mentor team members, providing guidance and support as needed.  Bachelor’s degree required in Computer Science, Computer Information Systems, Information Systems, Information Technology or Computer Engineering or equivalent work experience At least 5+ years of Strong understanding of ETL development concepts and tools such as ETL development solutions (Informatica/IICS)  At least 3+ years of Experience with Data Warehousing and Cloud Technologies like Azure (Synapse , Data bricks ). Demonstrated critical thinking skills and the ability to identify and resolve data quality issues, performance bottlenecks, and other ETL-related problems Experience with Agile methodologies and project-management skills Excellent communication and interpersonal skills Ability to mentor and provide technical guidance to junior ETL developers Experience with cloud based environment required. 3+ years of experience in scheduling jobs using Autosys (or comparable distributed scheduler) 3+ years of experience writing Unix/Linux or Windows Scripts in tools such as PERL, Shell script, Python, etc. 3+ years of experience in creating complex technical specifications from business requirements/specifications