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
Remote
This role does not support visa‑dependent candidates currently or in the foreseeable future.”
Job Summary
Senior developer within a hybrid working data engineering team designing and implementing scalable data solutions using Python PySpark Databricks and Amazon S3 for an international organization. Contribute hands on expertise to build reliable data pipelines and optimize Delta Lake based platforms that power analytics innovation and responsible data driven decisions across the enterprise.
Responsibilities
- Design and implement robust data pipelines using Databricks Workflows PySpark and Databricks SQL so that large scale data processing runs reliably for business critical analytics tasks.
- Develop efficient data ingestion and extraction solutions that integrate Amazon S3 with Databricks environments so that data assets remain accurate timely and easy to consume.
- Optimize Databricks Delta Lake architectures including partitioning and clustering strategies so that query performance improves and storage costs remain controlled.
- Build reusable Python modules and utilities that standardize data transformations so that multiple teams can adopt consistent and maintainable engineering practices.
- Configure and monitor scheduled jobs in Databricks Workflows so that dependencies retries and alerts are managed effectively for day shift operations.
- Implement rigorous data quality checks validation rules and reconciliation processes so that downstream reporting and machine learning models rely on trustworthy datasets.
- Collaborate with data analysts and product stakeholders in a hybrid work model so that requirements are clearly translated into technical designs and delivered solutions match expectations.
- Document technical designs coding standards and operational runbooks in clear language so that future maintenance and onboarding are simplified for global team members.
- Troubleshoot performance bottlenecks in PySpark jobs and Databricks SQL queries so that processing windows are reduced and service level objectives are consistently met.
- Apply secure coding and data handling practices across S3 buckets secrets management and Databricks configurations so that regulatory and organizational compliance goals are supported.
- Contribute to continuous improvement initiatives such as refactoring legacy pipelines into Delta Lake patterns so that the platform remains modern efficient and easier to extend.
- Coordinate with platform engineers and architects when introducing new features or version upgrades so that changes are aligned with enterprise standards and long term strategy.
- Mentor peers through code reviews knowledge sharing sessions and constructive feedback so that team capability grows and delivery quality remains high.
Qualifications
- Bring eight to twelve years of hands on software or data engineering experience with proven delivery of large scale data processing solutions in an enterprise environment.
- Demonstrate advanced proficiency in Python and PySpark including writing modular code handling complex transformations and optimizing jobs for distributed execution.
- Show practical expertise with Amazon S3 for data storage lifecycle management and secure integration with analytics platforms used in global organizations.
- Offer strong experience with Databricks SQL for building curated views reusable queries and performant datasets that serve reporting and dashboard needs.
- Exhibit deep understanding of Databricks Delta Lake concepts such as transaction logs time travel and schema evolution to maintain reliable analytical tables.
- Display experience configuring Databricks Workflows including job orchestration parameterization and alerting in a hybrid work setting without travel obligations.
- Possess familiarity with version control tools testing frameworks and continuous integration practices that keep data engineering codebases stable and auditable.
- Value collaborative communication skills that enable effective interaction with cross functional partners across different regions and time zones within a day shift schedule.
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。
