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JOB DESCRIPTION

We are seeking a highly experienced and results-oriented Senior Data Warehouse Engineer to work our data warehouse modernization and performance optimization initiatives. The ideal candidate will possess deep expertise in database programming and enterprise job scheduling, with a strong focus on enhancing system architecture, re-platforming legacy components, and improving data process efficiency. This role requires hands-on technical skills who can drive strategic improvements while maintaining operational excellence.

SKILLS AND QUALIFICATIONS

• Minimum of 5 years of experience in data warehousing, with significant experience in modernization and performance-focused initiatives.
• Expert-level proficiency in SQL for writing complex, highly optimized queries.
• Extensive experience with PL/SQL for designing and developing efficient database applications and transformations in an Oracle or similar environment.
• Strong expertise in Shell Scripting (UNIX/Linux) for process automation, job control, and system administration.
• Proven hands-on experience with Control-M or another major enterprise job scheduler for orchestrating complex data workflows.
• Deep understanding of data warehouse concepts, dimensional modeling, and database architecture.
• Excellent analytical and problem-solving skills, with a focus on delivering high-performance, scalable solutions.
• Strong communication and collaboration skills, with the ability to influence technical and non-technical stakeholders.
• Perl: Experience with Perl scripting for data processing, reporting, and automation.
• Python: Experience with Python for scripting, data manipulation, and building data pipelines.
• Experience with version control systems like Git.
• Incident management and change management tools experience like JIRA, ServiceNow.

• Lead and execute data warehouse modernization projects, including identifying and re-platforming legacy components to more modern, scalable architectures.
• Conduct in-depth performance analysis of data warehouse processes, queries, and ETL/ELT jobs to identify bottlenecks and implement strategic optimizations.
• Design, develop, and maintain advanced data models, ETL/ELT frameworks, and data integration solutions.
• Develop and optimize complex SQL and PL/SQL scripts, stored procedures, functions, and packages for data manipulation and transformation.
• Architect, develop, and maintain robust batch processes using Shell Scripting (UNIX/Linux) to support data loads, system automation, and operational monitoring.
• Utilize Control-M or similar enterprise job scheduling tools to design, manage, and monitor complex job workflows, ensuring optimal performance and reliability.
• Perform comprehensive root cause analysis (RCA) on performance degradation and system failures, developing and implementing long-term preventative solutions.
• Develop and enforce data warehouse best practices, coding standards, and architectural patterns.
• Create and maintain detailed documentation for modernized processes, system architecture, and performance improvements.