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
コグニザントについて
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ーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai 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。
