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Cognizant Technology Solutions Data Engineer (Onsite) in New York, New York

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.

* You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *

Job Title: Data Engineer (Onsite)

Roles & Responsibilities:

8 to 12 years of experience. The ideal candidate will have expertise in Python Azure DevOps PySpark SQL Kafka and Spark in Scala. Experience in Asset & Wealth Management or Asset Management Operations is a plus. The candidate will be responsible for developing and optimizing data pipelines ensuring data integrity and collaborating with cross-functional teams to deliver high-quality solutions.Develop and optimize data pipelines using Python PySpark BIG Data Mongo and SQL to ensure efficient data processing.

- Implement and manage CI/CD pipelines using Azure DevOps to streamline deployment processes.

- Utilize Kafka for real-time data streaming and ensure seamless data flow across systems.

- Leverage Spark in Scala to perform large-scale data processing and analytics.

- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

- Ensure data integrity and quality by implementing robust data validation and monitoring processes. - Provide technical guidance and support to junior developers and team members.

- Conduct code reviews to ensure adherence to best practices and coding standards.

- Troubleshoot and resolve technical issues related to data pipelines and infrastructure.

- Stay updated with the latest industry trends and technologies to continuously improve the development process.

- Work closely with stakeholders to deliver high-quality solutions that meet business needs.

- Utilize Azure Event Hub Azure Key Vault and Azure Data Lake Store for enhanced data management and security.

- Implement monitoring solutions using Azure Monitor to ensure system reliability and performance. -Qualifications - Possess strong experience in Python PySpark BIG Data Data Engineering Mongo Spark SQL Kafka Azure DevOps AWS and RDBMS

- Demonstrate proficiency in developing and optimizing data pipelines.

- Have experience with Azure Event Hub Azure Key Vault and Azure Data Lake Store.

- Show familiarity with Azure Synapse Spark Pool Azure Synapse SQL Pool and Synapse Pipelines.

- Exhibit knowledge of Azure PowerShell and Azure CLI for infrastructure management.

- Have domain experience in Asset & Wealth Management or Asset Management Operations.

- Display excellent problem-solving skills and attention to detail.

- Possess strong communication and collaboration skills.

Required Qualifications:

Technical Skills : Python Azure DevOps PySpark SQL Kafka Spark in Scala Domain Skills : 5.Nice to have skills : Techincal Skills : Azure Event Hub Azure Key Vault Azure Data Lake Store Azure Monitor Structured Streaming Azure Synapse Spark Pool Azure Synapse SQL Pool Azure PowerShell Azure CLI Synapse Pipelines Domain Skills : 6.Technology : CloudDataIntegrationMigration

Salary and Other Compensation:

Applications will be accepted until 06/18/2024.

The annual salary for this position is between $82,000.00 - $109,000.00 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 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-AR1 #CB #Ind123

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.

Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly

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