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: AWS Data Engineer (Onsite - Newark, NJ)
Experience: 6-8 years
Technical Skills: Python, AWS Glue, ETL, Amazon S3, and Apache Spark
Job Summary:
We are seeking a highly skilled AWS Data Engineer with 6-8 years of experience to join our dynamic team. The ideal candidate will have extensive experience in Python, AWS Glue, ETL, Amazon S3, and Apache Spark. Experience in Life and Annuities Insurance is a plus. This role involves developing and optimizing data pipelines ensuring data integrity and contributing to the overall data strategy of the company.
Responsibilities:
• Designing, building and maintaining efficient, reusable, and reliable architecture and code.
• Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc)
• Ensure the best possible performance and quality of high scale data engineering project
• Participate in the architecture and system design discussions
• Independently perform hands on development and unit testing of the applications;
• Collaborate with the development team and build individual components into complex enterprise web systems;
• Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle;
• Responsible to identify and resolve any performance issues
• Keep up to date with new technology development and implementation
• Participate in code review to make sure standards and best practices are met.
Qualifications:
• Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
• Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
• Programming experience with Python, Shell scripting and SQL
• Solid experience of AWS services such as CloudFormation, S3, Athena , Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
• Solid experience implementing solutions on AWS based data lakes.
• Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticSearch
• Serverless application development using AWS Lambda
• Experience in AWS data lake/data warehouse/business analytics
• Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
• Knowledge of ETL/ELT
• End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
• Architect and implement CI/CD strategy for EDP
• Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
• Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
• Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
• Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case
• AWS Solutions Architect or AWS Developer Certification preferred
• Good understanding of Lakehouse/data cloud architecture
Salary and Other Compensation:
The annual salary for this position is ($90,000-$123,000) 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 PlanDisclaimer: 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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The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
About us:
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes and transform experiences so they stay ahead in a fast-changing world.
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. 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 protected characteristic as outlined by federal, state or local laws.
Disclaimer:
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.