Cognizant’s Digital Engineering practice is seeking a highly qualified
Technical Lead AWS Data Engineer with experience developing and building high-performing, scalable, enterprise applications. You will be part of a digital software team that works on high-demand applications. Our engineers have a passion for high-quality, reliable and maintainable code. You will work side by side with product managers, designers, and clients, making decisions together in order to quickly deliver valuable working software to clients and their users. Our engineers are agile and retrospective, and not afraid to identify what we’re doing wrong, so we can fix it, and what we’re doing right, so we can improve on it. Above all, we judge success by the success of our team and the happiness of our customers.
Cognizant Digital Engineering If you’re like us, you’ve got big ideas. At Cognizant, we’re exploring new ideas every day. We help industry leading companies reinvent their business models and innovate products that create new value—by connecting people with things, insights and experiences. Cognizant digital engineering designs, engineers and delivers digital products and experiences that drive digital-first business models. We offer the most comprehensive digital engineering expertise and client-centric methodology for sustainable innovation.
Location: Charlotte, NC / Remote
You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Cognizant will not sponsor H-1B or other U.S. work authorization for this role.
Roles And Responsibilities
- Provides leadership, direction, peer review and accountability on the product (key responsibility)
- Provides technical direction, guides the team on key technical aspects and responsible for product tech delivery
- Lead Design, Build, Test and Deployment of components
- Design and implement scalable enterprise level apps and data marts/stores ensuring high data availability
- Where applicable in collaboration with Solution Architects, Data Architects and Lead Developers (Data Engineer, Software Engineer, Data Scientist, Technical Test Lead)
- Understand requirements / use case to outline technical scope and lead delivery of technical solution
- Develop MVP User Stories (Re-usable components/ API’s / Mock stubs etc.)
- Support backlog creation, prioritization, and Story mapping
- Support in technical design and solutioning
- Ability to utilize DevOps CI/CD pipeline, create/configure build and deploy jobs
- Experience working in XP and pair programming model and understands and performs TDD
- Responsible for assigned task delivery and quality and knowledge transfer through daily pairing with team members
- Motivated and energetic engineers who are passionate about software modernization
- Must be able to clearly communicate with team members and leadership
- Strong ability to work independently when required
- Turn complex ideas into manageable pieces of work
- Hands-on, Individual contribution and Mentor other developers in team
- Support team members on troubleshooting
Required Qualifications
- Key technology skill set – AWS platform and services knowledge including AWS Lambda, S3, API Gateway, and EMR/Hudi, AWS Glue/Athena, Kafka, MongoDB/ DynamoDB/Aurora, Redshift
- Additional technology skill set – CI/CD using Terraform, Python, Spark
- AWS Certification – Architect Associate or Developer or Data Engineer Associate preferred.
- Ability to understand the future Architecture and guide the team with require technical direction
- 8-12 yrs of experience in cloud development, preferably all in AWS
- Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.
- Design, build, and manage AWS cloud infrastructure which enables functions of the big data platform for Analytics.
- Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data.
- Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.
- Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.
Travel: 0-5%
Why Choose Cognizant?
It takes a lot to succeed in today’s fast-paced market, and Cognizant Technology Solutions has become a leader in the industry. We love big ideas and even bigger dreams! We stand out because we put human experiences at the core. Our associates enjoy robust benefits and training opportunities from our industry-recognized, award-winning Academy team. You will have access to hundreds of technical trainings to keep your skillsets fresh and have opportunities to acquire certifications on the newest technologies.
Everything we do at Cognizant we do with passion—for our clients (fortune 100 companies), our communities, and our organization. It’s the defining attribute that we look for in our people.
If you love ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
About Cognizant Digital Engineering
Well-designed software transcends digital technology, going beyond the fulfillment of basic requirements to focus instead on human needs. Within Cognizant Digital Engineering, we help clients develop software products that transform human insights into tangible, production-ready digital solutions. We also work with our clients to scale their native cloud applications. Using insights from the lived experiences of our consumers, we seamlessly replace traditional service strategies with engaging, precise, and direct digital applications. Designing phenomenal software is vital to success in the digital economy—and we understand that a human-centric approach is key to this design.
www.cognizant.com
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