Lead Data Analyst - Onsite

Washington, Seattle-tacoma 98101 Seattle-tacoma USA
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This Onsite position is open to any qualified applicant in the United States.

A qualified applicant must be local to Issaquah, WA or be open to relocation to Washington.

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. But 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

Job Title: Lead Data Analyst - Data Migration

We are seeking an expert with 8 to 12 years of experience to join our team. The ideal candidate will have deep technical skills in MongoDB RDBMS/SQL/PL/SQL Basics Azure Cosmos DB and Python. This role is Onsite and requires no travel. The candidate will play a crucial role in designing and implementing robust database solutions that align withcompanypanys goals and objectives.

Responsibilities

Design and implement scalable database solutions using MongoDB RDBMS/SQL/PL/SQL Basics and Azure Cosmos DB.

Collaborate with multi-functional teams to capture and analyze requirements for database architecture.

Provide technical expertise in database design development and optimization.

Ensure data integrity security and availability across all database systems.

Develop and maintain database documentation including data models schemas and procedures.

Lead all aspects of the migration of data from legacy systems to modern database platforms.

Implement standard methodologies for database management and performance tuning.

Supervise database performance and solve issues as they arise.

Work closely with application developers to ensure seamless integration of database solutions.

Conduct code reviews and provide feedback to ensure high-quality database code.

Stay updated with the latest trends and technologies in database management.

Deliver training and support to junior team members on database-related tasks.

Supply to the continuous improvement of database processes and methodologies.

Qualifications

Possess deep technical skills in MongoDB RDBMS/SQL/PL/SQL Basics and Azure Cosmos DB.

Show talent in Python for database-related tasks.

Have a demonstrable experience in database architecture and design.

Show a consistent track record of implementing scalable and secure database solutions.

Exhibit excellent problem-solving and analytical skills.

Display good communication and teamwork abilities.

Be familiar with standard methodologies in database management and performance tuning.

Certifications Required

Certified MongoDB Developer Microsoft Certified: Azure Database Administrator Associate

Salary and Other Compensation:

Applications will be accepted until November 10,2024.

The annual salary for this role is between $81,848 to $156,500 depending on the experience and other qualifications of the successful candidate.

This job is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is 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, subj

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Job Details

ID #52842741
Estado Washington
Ciudad Seattle-tacoma
Full-time
Salario USD TBD TBD
Fuente Cognizant Technology Solutions
Fecha 2024-11-07
Fecha tope 2025-01-06
Categoría Etcétera