Job Summary
Serve as a senior developer specializing in Databricks and PySpark to design build and optimize large scale data and analytics solutions in a hybrid work environment using prompt engineering to enable intelligent data products supporting day shift operations without travel and delivering measurable value to business stakeholders and society through data driven outcomes.
Responsibilities
Design and develop scalable data pipelines on Databricks using PySpark and Databricks SQL to deliver reliable and timely data for analytics and reporting needs.Implement robust data transformation logic in Databricks Workflows to ensure consistent data quality and alignment with business rules across multiple domains.Configure and optimize Databricks CLI based automation scripts to streamline environment setup deployment and operational tasks for data engineering projects.Apply prompt engineering techniques to build and refine intelligent data solutions that improve insight discovery and decision support for business teams.Tune PySpark jobs and Databricks SQL queries to improve performance manage costs and ensure efficient use of compute resources across the data platform.Collaborate with data architects analysts and product teams in a hybrid work setup to translate complex requirements into clear maintainable Databricks based solutions.Establish monitoring logging and alerting practices for Databricks Workflows to ensure high reliability rapid incident detection and swift remediation.Document data models transformation logic and operational runbooks so that project teams can understand support and extend delivered solutions with confidence.Ensure all data solutions comply with security and privacy standards so that sensitive information is protected while enabling responsible insight generation.Mentor junior developers in Databricks PySpark and prompt engineering techniques so that the team continually improves its technical depth and delivery quality.Partner with business stakeholders to validate outputs from Databricks SQL dashboards and models so that delivered insights remain accurate relevant and actionable.Drive continuous improvement of development practices using Databricks CLI and version control so that releases remain predictable traceable and low risk.Contribute to innovative use cases that leverage Databricks and prompt engineering to generate positive business value and broader societal impact through better use of data.
Qualifications
Demonstrate eight to twelve years of progressive experience in data engineering or development roles with a strong recent focus on Databricks based solutions.Show advanced hands on expertise in PySpark and Databricks SQL for building complex data transformations aggregations and analytical data sets.Exhibit solid experience configuring and using Databricks Workflows to orchestrate data pipelines manage dependencies and schedule production workloads.Display practical proficiency with Databricks CLI for automation of environment management job deployment and configuration tasks in enterprise settings.Apply working knowledge of prompt engineering concepts to design effective prompts that enhance data exploration insight generation and analytics workflows.Possess strong skills in writing clean maintainable code using version control and code review practices that support high quality and collaborative delivery.Bring proven experience working in hybrid teams and day shift schedules while maintaining clear communication accountability and focus on shared objectives.
Certifications Required
Databricks Certified Data Engineer Professional or equivalent advanced Databricks certification is preferred for this role.
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。
