Job Summary
Join our team as a Developer where you will leverage your expertise in Databricks SQL Delta Lake and Workflows along with PySpark to drive innovative solutions in the Property & Casualty Insurance domain. With a hybrid work model and day shifts you will contribute to impactful projects that enhance our offerings and benefit society.
Responsibilities
Develop and implement data solutions using Databricks SQL and Delta Lake to optimize data processing and storage.Collaborate with cross-functional teams to design and execute Databricks Workflows that streamline data operations.Utilize PySpark to enhance data analytics capabilities and support complex data transformations.Analyze and interpret data within the Property & Casualty Insurance domain to provide actionable insights.Ensure data integrity and accuracy by implementing robust validation and monitoring processes.Contribute to the development of scalable data architectures that support business objectives.Participate in code reviews and provide constructive feedback to improve code quality.Troubleshoot and resolve technical issues related to Databricks and PySpark implementations.Stay updated with industry trends and emerging technologies to continuously improve solutions.Document technical specifications and maintain comprehensive records of data processes.Collaborate with stakeholders to understand requirements and deliver solutions that meet business needs.Optimize performance of data workflows to ensure efficient processing and timely delivery of insights.Support the team in achieving project milestones and deliverables through effective communication and collaboration.
Qualifications
Possess strong experience in Databricks SQL Delta Lake and Workflows demonstrating proficiency in data management.Have a solid understanding of PySpark and its application in data processing and analytics.Bring domain expertise in Property & Casualty Insurance enabling insightful data analysis.Exhibit excellent problem-solving skills and the ability to troubleshoot complex technical issues.Demonstrate effective communication skills to collaborate with diverse teams and stakeholders.Show a commitment to continuous learning and staying abreast of industry advancements.Display attention to detail and a focus on delivering high-quality solutions that drive business success.
Certifications Required
Databricks Certified Data Engineer Associate PySpark Certification
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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