Azure Developer

This hybrid position is open to any qualified applicant in Parsippany, NJ.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant's AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

We are seeking a Sr. Developer with 8+ years of experience to join our team. The ideal candidate will have expertise in Synapse Pipelines Azure Data Lake Store Azure DevOps Python Azure Synapse SQL Pool Azure Synapse Spark Pool SQL and PySpark. Experience in the Transportation & Logistics domain is a plus. This is a hybrid work model with day shifts and no travel required.

• Develop and maintain Synapse Pipelines to ensure efficient data processing and integration.
• Manage and optimize Azure Data Lake Store for high-performance data storage and retrieval.
• Utilize Azure DevOps for continuous integration and deployment of data solutions.
• Write and maintain Python scripts for data manipulation and analysis.
• Implement and manage Azure Synapse SQL Pool for scalable data warehousing solutions.
• Leverage Azure Synapse Spark Pool for big data processing and analytics.
• Design and optimize SQL queries for data extraction and reporting.
• Develop PySpark applications for large-scale data processing.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and integrity through rigorous testing and validation.
• Provide technical guidance and support to junior developers.
• Stay updated with the latest industry trends and technologies to continuously improve solutions.
• Contribute to the companys purpose by delivering impactful data solutions that drive business decisions.

• Have good experience in Synapse Pipelines Azure Data Lake Store and Azure DevOps or equivalent experience.
• Demonstrate proficiency in Python Azure Synapse SQL Pool and Azure Synapse Spark Pool.
• Have a solid understanding of SQL and PySpark for data processing and analysis.
• Experience in the Transportation & Logistics domain is a plus.
• Exhibit excellent problem-solving skills and attention to detail.
• Show ability to work in a hybrid work model with day shifts.

Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Developer Associate

Application will be accepted through 4/20/2025.

The annual salary for this position is between $68,000-$123,000 USD depending on experience and other qualifications of the successful candidate.

This position 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, subject to applicable law.