We’re hiring!
At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!
We have an exciting opportunity for an exceptional individual to work supporting one of our clients as a Data Engineer
Responsibilities
· Design robust enterprise data architecture that aligns business objectives with scalable data warehouse solutions ensuring reliable data availability for analytics and operational reporting in a hybrid work environment.
· Develop and optimize complex SQL and Google Big queries and scripts to transform validate and aggregate large data sets improving performance and accuracy for critical business intelligence workloads.
· Configure and manage ETL workflows using IBM Infosphere Datastage to extract transform and load data from diverse source systems into centralized data warehouse structures adhering to quality and compliance standards.
· Implement comprehensive data integration strategies that unify structured and semi structured data across applications enabling consistent data views that support informed decision making and regulatory needs.
· Establish and refine scheduling basics for batch and near real time jobs by defining schedules dependencies and recovery procedures that keep data pipelines predictable and resilient during day shift operations.
· Collaborate with product operations and analytics stakeholders to translate functional requirements into detailed data models and mapping specifications that drive trustworthy reporting assets for the organization and society.
· Review existing data warehouse schemas and data flows to identify inefficiencies then propose and implement architectural enhancements that reduce latency optimize storage usage and improve query response times.
· Define and maintain metadata data lineage and documentation for all data integration processes enabling transparent traceability of data from source to consumption and supporting audit and governance activities.
· Provide technical guidance to development and operations teams on best practices for SQL coding standards Datastage job design and ETL error handling fostering a culture of quality and reliability across projects.
· Coordinate hybrid collaboration routines with onsite and remote colleagues to plan releases validate test results and ensure smooth deployment of new or enhanced data solutions without impacting business continuity.
· Monitor data pipeline executions and warehouse performance dashboards to proactively identify bottlenecks or anomalies initiating corrective actions that protect data freshness and stakeholder confidence.
· Drive continuous improvement initiatives that leverage automation parameterization and reusable components in ETL and integration workflows reducing manual effort and accelerating delivery of new data capabilities.
· Ensure that all data architecture and integration designs observe organizational policies for security privacy and compliance contributing to responsible use of data that benefits customers and the wider community.
Qualifications
· Demonstrate advanced proficiency in SQL and Google Big Queries by crafting efficient queries procedures and functions that support complex transformations and high volume transactional workloads.
· Apply deep understanding of data warehousing concepts such as dimensional modeling star and snowflake schemas and slowly changing dimensions to design resilient analytical repositories.
· Utilize strong ETL and data integration experience to build modular Datastage jobs and frameworks that handle data extraction transformation and loading across multiple environments with minimal defects.
· Show practical knowledge of scheduling basics including job calendars dependency handling and restart mechanisms to maintain consistent pipeline execution across hybrid teams and systems.
· Bring solid experience in IBM Infosphere Datastage configuration tuning and migration activities to ensure high throughput maintainability and scalability of enterprise data integration solutions.
Why Cognizant?
Improve your career in one of the largest and fastest growing IT services providers worldwide
Receive ongoing support and funding with training and development plans
Have a highly competitive benefits and salary package
Get the opportunity to work for leading global companies
We are committed to respecting human rights and build a better future by helping your minds and the environment
We invest in people and their wellbeing.
We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.
Igualdad de Empleo y Política de Acción Afirmativa:
Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.
At Cognizant we believe than our culture make us stronger!
Join us now!
#BeCognizant #IntuitionEngineered
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。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
