Job Summary
Sr Developer role in a global media and entertainment environment focusing on advanced data engineering solutions using PySpark in a hybrid work model. The candidate will design optimize and support data pipelines that power content analytics audience insights and revenue reporting while collaborating with cross functional teams to drive measurable impact on business decisions and viewer experiences.
Responsibilities
- Design efficient PySpark based data pipelines that ingest transform and prepare large scale media and entertainment data sets to support analytics and reporting for content performance and audience engagement.
- Develop reusable PySpark frameworks and modules that standardize data processing for streaming metrics viewership trends recommendation inputs and campaign attribution across multiple media platforms.
- Optimize PySpark jobs by refining partitioning strategies caching resource configurations and query logic to improve reliability processing speed and cost efficiency in large data environments.
- Collaborate with product data science and business stakeholders in media and entertainment to translate analytical needs into scalable PySpark solutions that support audience insights and content valuation.
- Implement robust data quality checks validation rules and monitoring mechanisms in PySpark workflows to ensure accuracy of key performance indicators for ratings engagement and revenue metrics.
- Integrate data from diverse media sources including streaming logs ad servers customer profiles and content catalogs into unified PySpark based datasets that enable comprehensive analysis and reporting.
- Maintain clear technical documentation for PySpark pipelines data models and operational procedures to support knowledge sharing and smooth onboarding for other developers and analysts.
- Troubleshoot production issues in PySpark jobs and related data workflows by performing root cause analysis applying fixes and implementing preventive enhancements to improve system stability.
- Collaborate in a hybrid work model with onsite and remote team members by using effective communication practices regular checkpoints and shared tools to ensure alignment on deliverables.
- Ensure that PySpark solutions comply with data governance privacy and security standards relevant to media and entertainment data including viewer behavior and content metadata.
- Contribute to continuous improvement by evaluating new PySpark features big data tools and best practices that can enhance media analytics capabilities and operational efficiency.
- Provide guidance to peers on PySpark usage patterns coding standards and performance tuning techniques to promote consistency and maintain high quality data engineering outputs.
- Align day to day development activities with the broader purpose of delivering engaging and responsible media experiences by enabling accurate insights that inform content creation and audience personalization.
Qualifications
- Demonstrate strong proficiency in PySpark including data frame operations window functions performance tuning and integration with big data ecosystems for large media data sets.
- Show proven experience of at least eight years in data engineering or development roles with a focus on analytics solutions and complex data workflows in relevant industries.
- Apply domain knowledge of media and entertainment including concepts such as content catalogs ratings audience segmentation and advertising metrics to design meaningful data transformations.
- Utilize solid understanding of distributed data platforms such as Spark clusters and cloud based data services to deploy and maintain PySpark pipelines in production environments.
- Exhibit strong skills in writing clean modular and well tested code using Python and PySpark that supports maintainability and quick enhancements for evolving media analytics needs.
- Demonstrate experience working in hybrid work setups and day shifts by coordinating effectively with cross functional teams and managing time zones and collaboration expectations.
- Leverage familiarity with media analytics tools reporting environments or data visualization platforms to ensure that PySpark data outputs are well structured for downstream consumption.
- Display strong communication and problem solving abilities to convert business questions from media and entertainment stakeholders into clear technical requirements and deliverable solutions.
- Showcase experience in implementing data quality frameworks including validation rules anomaly detection and reconciliation processes to maintain trust in key media metrics.
- Apply knowledge of software development practices such as version control code reviews and continuous integration to maintain stability and reliability of PySpark projects.
- Maintain awareness of industry trends in streaming media digital advertising and audience measurement to keep data solutions aligned with evolving business models and regulatory expectations.
- Demonstrate capacity to mentor junior team members informally by sharing practical insights on PySpark techniques domain patterns and troubleshooting methods that uplift team capability.
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。
