Data Warehouse Engineer

Job Description:

We are seeking an experienced and results-oriented Data Warehouse Engineer to work on our data warehouse projects. The ideal candidate will possess expertise in database programming and enterprise job scheduling. This role requires hands-on technical skills to work within data warehouse systems while maintaining operational excellence.

Skills and Qualifications:

• Minimum of 3 years of experience in data warehousing, with significant experience in Data Warehouse and ETL systems.
• Expert-level proficiency in SQL for writing complex, highly optimized queries.
• Experience with PL/SQL for 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.

Responsibilities:

• Develop and maintain data models, ETL/ELT frameworks, and data integration solutions.
• Develop complex SQL and PL/SQL scripts, stored procedures, functions, and packages for data manipulation and transformation.
• 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 data warehouse processes, system architecture, and performance improvements

Preferred (Optional) Skills:

• 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.

Note:

• Working hours: Mondays to Fridays
• Flexibility: Ability to work during non-standard working hours/days as requested
• Work from home: Voluntary basis for up to 2 days per week after 3 months of joining, subject to manager's discretion
• Calendar/Holiday: USA

Capgemini is an Equal Opportunity Employer:

Capgemini is an Equal Opportunity Employer committed to diversity, equity, and inclusion in the workplace. We promote fairness, accessibility, inclusion, and respect through our Partnership Accreditation in Indigenous Relations (PAIR) Committee, which supports meaningful engagement with Indigenous communities across Canada. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 
All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.”