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This is an onsite position open to any qualified applicant in the United States.

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

Role: **Sr. ETL Business Analyst – SQL exp.**

**Location:** Washington, DC.

Work model:** **Onsite

Job Summary

The role is pivotal in designing and implementing data solutions that drive business insights and efficiencies. With a focus on Data Warehousing and Data Lake concepts, will bring to bear the expertise in Informatica Cloud and SQL to improve data integration processes. This role demands a profound grasp of data architecture and the capacity to work closely in a dynamic environment.

Roles and responsibilities:

+ Design and implement robust data architectures that support business intelligence and analytics needs.

+ Oversee the development and maintenance of data warehousing solutions to ensure data accuracy and accessibility.

+ Guide on Data Lake concepts to optimize data storage and retrieval processes.

+ Apply Informatica Cloud Scheduler for automating data integration workflows to improve efficiency.

+ Develop complex SQL queries to extract transform and load data across various platforms.

+ Collaborate with multi-functional teams to ensure seamless data integration and alignment with business objectives.

+ Implement Unix Shell Scripting to streamline data processing tasks and enhance system performance.

+ Ensure data security and compliance with industry standards and regulations.

+ Analyze and fix data integration issues to minimize downtime and optimize performance.

+ Contribute to the continuous improvement of data architecture practices and methodologies.

+ Collaborate with collaborators to grasp data requirements and provide solutions that meet business needs.

+ Drive innovation in data management strategies to support investment banking operations.

+ Conduct training sessions to improve team skills. Qualifications

Required Qualifications:

+ 9+ years of experience.

+ Deep technical expertise in Data Warehousing Concepts and Data Lake Concepts.

+ Proficiency in Informatica Cloud Scheduler and SQL for data integration tasks.

+ Experience in Unix Shell Scripting to automate and optimize data processes.

+ Domain expertise in Investment Banking Operations and Investment Banking & Brokerage.

+ Excellent problem-solving skills and the ability to work closely in a hybrid work model.

+ Proficient in communication to engage with team members and partners.

+ Display a commitment to continuous learning and staying updated with industry trends.

Salary and Other Compensation** **:

Applications will be accepted until June 15, 2025

The annual salary for this position is between $ 81,848 - $ 140,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

+ Medical/Dental/Vision/Life Insurance

+ Paid holidays plus Paid Time Off

+ 401(k) plan and contributions

+ Long-term/Short-term Disability

+ Paid Parental Leave

+ Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.