Job Summary
Serve as a senior developer within a hybrid work model designing and optimizing data solutions using Python and the Cloudera Data Platform for large scale analytics. Apply hands on expertise in Impala Hive and Apache Hadoop to build reliable data pipelines that power business decisions and advance the organization data driven impact on society.
Responsibilities
Develop robust data pipelines on Cloudera Data Platform that extract transform and load large scale datasets to support analytics and reporting needs across multiple business domains.Design efficient data models and storage strategies on Hadoop based environments that optimize query performance while ensuring long term scalability and maintainability.Implement complex data processing logic in Python that automates recurring workflows and reduces manual intervention for data engineering activities.Optimize Impala queries and execution plans that improve response times for analytical workloads and enable faster insight generation for stakeholders.Create and maintain Hive tables partitions and metadata structures that ensure organized reliable and discoverable data assets for downstream consumers.Collaborate with data analysts and application teams that translate business requirements into technical specifications and deliver clear reproducible data solutions.Develop reusable Python utilities and frameworks that standardize data ingestion transformation and validation patterns across different projects and environments.Monitor data jobs and clusters on Cloudera platforms that proactively identify issues and coordinate timely remediation to minimize disruption to business processes.Implement data quality checks and validation routines that detect anomalies improve accuracy and build confidence in enterprise data products.Document technical designs workflows and operational procedures that enable smooth knowledge transfer and simplified maintenance for current and future team members.Perform root cause analysis on data related issues that identify underlying problems and drive sustainable fixes instead of recurring workarounds.Collaborate in code reviews and continuous integration activities that uphold coding standards improve reliability and support secure scalable deployment practices.Align development work with organizational data strategy that supports ethical data use promotes responsible analytics and contributes to socially beneficial outcomes.
Qualifications
Showcase hands on experience of four to seven years in Python development for data engineering or analytics solutions within enterprise environments.Demonstrate strong practical knowledge of Cloudera Data Platform including cluster usage resource awareness and integration of ecosystem tools.Exhibit solid skills using Hive for data warehousing including table design partition strategy and performance tuning for large datasets.Display proficiency in Impala query development that includes optimization techniques and troubleshooting of performance bottlenecks.Bring proven experience working with Apache Hadoop ecosystems that include distributed storage processing concepts and operational considerations.Apply understanding of SQL concepts and data modeling principles that support reliable design of analytical and reporting datasets.Utilize experience in version control and collaborative development practices that maintain code quality and traceability in hybrid work settings.Prefer prior exposure to big data security and governance concepts that help protect sensitive information and uphold regulatory expectations.
Certifications Required
Preferred certifications include Cloudera Certified Associate Data Analyst or Cloudera Certified Professional Data Engineer or similar Python big data credentials
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。
