Lead AWS Data Engineer Position Available In Mecklenburg, North Carolina

Lead AWS Data Engineer This hybrid position is open to any qualified applicant in Charlotte, NC. •Please note, this role is not able to offer visa transfer or sponsorship now or in the future• 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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!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 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. Job Summary We are seeking an experienced AWS Lead Data Engineer with 10+ years of experience to join our team. The ideal candidate will have abilities in AWS platform and services. This hybrid role provides the chance to work on brand-new projects and promote innovation within our organization. The role necessitates a solid technical background and the capacity to collaborate effectively with cross-functional teams. Responsibilities
Building optimizing Data LakeHouse with Open Table formats
Kubernetes deployments and cluster administration
Transitioning on premise big data platforms to scalable cloud-based platforms like AWS
Distributed Systems Microservice architecture and containers
Cloud Streaming use cases in Big Data Ecosystems e.g EMR EKS Hadoop Spark Hudi Kafka Kinesis
Key technology abilities in AWS platform and services
Must have experience with similar platform engineering/management solutions, Building/optimizing Data LakeHouse with Open Table formats
Kubernetes deployments/cluster administration
Transitioning on-premise big data platforms to scalable cloud-based platforms like AWS
Distributed Systems, Microservice architecture, and containers
Cloud Streaming use cases in Big Data Ecosystems (e.g., EMR, EKS, Hadoop, Spark, Hudi, Kafka/Kinesis)

Qualifications:

10+ years in an IT related role
Must have hands-on experience with, Git Hib and Git Hub Actions
Good experience with

AWS – IAM, API

Gateway, Lambda, Step Functions, Lake Formation, Glue (Catalog, ETL, Crawler), Athena, S3 (Strong foundational concepts like object data store vs block data store, encryption/decryption, storage tiers etc)
Good hands on experience using Python
Skilled in EKS & Kubernetes, Apache Hudi, Flink, PostgreSQL and

SQL, RDS

Java background
Terraform Enterprise
Helpful tech stack experience would include,

Helm, Kafka and Kafka Schema Registry, AWS Services:

CloudTrail, SNS, SQS, CloudWatch, Aurora, EMR, Redshift, Iceberg, Vault, AWS Secrets manager

Salary and Other Compensation:

Application will be accepted until May 28, 2025 The annual salary for this position is between $81,000- $156,000 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. #CB #Ind123 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. Cognizant is a global community with more than 300,000 associates around the world.
We don’t just dream of a better way – we make it happen.
We take care of our people, clients, company, communities and climate by doing what’s right.
We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world’s leading professional services companies, transforming clients’ business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com 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.

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. Save
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Key job details
Job number:
00063690261
Travel required:
No
Job category:
Digital

Location:

Charlotte / United States
Date published:
Apr 28 2025
Employment type:
Full-time
Work model:
Hybrid