Practice - AIA - Artificial Intelligence and Analytics
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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 provides businesses 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.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a Senior AWS Data Engineer to design and deliver scalable, cloud-native data solutions on AWS. This role focuses on building robust data pipelines, modernizing legacy systems, and enabling advanced analytics through data lakes and warehouses. You will work across batch and streaming architectures while ensuring high performance, reliability, and cost efficiency. The position requires strong expertise in AWS services, data modeling, and end-to-end data engineering practices.
In this role, you will:
· Design and develop end-to-end data pipelines using AWS services such as Glue, EMR, Lambda, and Airflow.
· Build and optimize data lake and data warehouse solutions using Amazon S3, Redshift, and Athena.
· Develop and manage ETL/ELT frameworks for large-scale data transformation and processing.
· Implement streaming data solutions using AWS Kinesis for real-time analytics use cases.
· Lead database migration, replication, and modernization initiatives using AWS DMS and Aurora.
· Ensure high performance and scalability through data partitioning, indexing, and query optimization.
· Collaborate with cross-functional teams to deliver data solutions aligned with business requirements.
· Follow Agile methodologies and contribute to continuous improvement of data engineering practices.
What you need to have to be considered
· Strong experience in AWS data engineering with hands-on expertise in Glue, Redshift, EMR, S3, Lambda, Kinesis, and related services.
· Proficiency in SQL and solid understanding of data modeling concepts and best practices.
· Experience in designing ETL/ELT pipelines and scalable data transformation frameworks.
· Strong programming skills in Python, PySpark, or similar technologies.
· Knowledge of data lake and data warehouse architectures and implementation patterns.
· Expertise in performance tuning and optimization for large-scale datasets.
· Experience with data migration, replication, and database modernization strategies.
· Proven ability to work effectively in Agile delivery environments.
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Applications will be accepted until 10 Jun 2026.
Salary and Other Compensation:
The hourly salary for this position is between $[108,000 - 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 Plan
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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