Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
Full time
Onsite role
Job Summary
Sr Developer role responsible for designing and implementing scalable data pipelines and event driven services using Kafka Amazon S3 Python and Snowflake SQL with Snowpipe. The role focuses on building secure reliable and performant solutions in a hybrid work model supporting business critical analytics and applications while ensuring high code quality and operational excellence.
Responsibilities
- Design and implement robust data pipelines using Python that move structured and semi structured data securely and efficiently between source systems Amazon S3 storage and Snowflake environments
- Develop and optimize Kafka based event streaming solutions that enable reliable ingestion transformation and distribution of real time and batch data for analytics and applications
- Create efficient Snowflake SQL queries and data models that support analytics reporting and application use cases while maintaining performance and cost efficiency
- Configure and enhance Snowpipe based ingestion processes that automate continuous data loading from Amazon S3 into Snowflake with strong focus on reliability and observability
- Implement reusable Python modules and utilities that standardize data processing patterns including validation transformation error handling and monitoring across projects
- Collaborate with product owners architects and peer developers to translate complex business requirements into scalable technical designs aligned with enterprise data strategies
- Review and refactor existing Kafka topics schemas and consumer logic to improve reliability throughput fault tolerance and maintainability across multiple environments
- Apply secure coding practices data protection guidelines and access control policies across Kafka Amazon S3 and Snowflake components to safeguard sensitive information and comply with standards
- Develop comprehensive unit tests integration tests and data validation checks for Python code SQL logic and streaming flows to ensure accuracy resilience and regression safety
- Monitor production data pipelines and streaming jobs using logs and metrics investigate incidents proactively and implement permanent fixes to enhance system stability and user trust
- Prepare clear technical documentation covering data flow diagrams pipeline configurations schema definitions and operational runbooks to support smooth handover and ongoing operations
- Mentor junior developers in best practices for Python coding Kafka usage SQL optimization and data engineering patterns to uplift overall team capability and delivery quality
- Contribute to continuous improvement initiatives by evaluating new features of Snowflake Kafka Amazon S3 and related tools to drive innovation efficiency and better outcomes for stakeholders
Qualifications
- Display strong proficiency in Python for building data pipelines automation scripts and backend services with emphasis on clean code and maintainable structures
- Show deep hands on experience with Kafka including topics management consumer groups schema evolution and troubleshooting of message flow issues
- Demonstrate practical expertise with Amazon S3 for secure data storage lifecycle policies folder organization and integration with upstream and downstream systems
- Exhibit advanced skills in Snowflake SQL including complex joins window functions performance tuning and query optimization in large scale data environments
- Apply proven experience in configuring and managing Snowpipe pipelines for automated and continuous data ingestion from Amazon S3 into Snowflake
- Bring solid understanding of data warehousing principles dimensional modeling concepts and best practices for building analytics ready datasets that support diverse business needs
- Leverage experience working in hybrid work models using remote collaboration tools while maintaining strong communication accountability and alignment with distributed teams
- Utilize problem solving skills and analytical thinking to diagnose data quality issues performance bottlenecks and integration challenges across Kafka Amazon S3 and Snowflake components
- Employ effective stakeholder communication skills to clarify requirements explain technical decisions and present progress updates to non technical partners in a concise and transparent manner
Certifications Required
Good to have
Employee Benefits
Cognizant offers a competitive and comprehensive benefits package, including:
- Medical, dental, and vision insurance
- Paid time off, holidays, and parental leave
- Life and disability insurance
- Employee assistance and wellness programs
- Learning, certification, and career development opportunities
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.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
