Job Summary
The Developer will design build and optimize PySpark based data solutions that support analytics and content decision making for a global media and entertainment organization. The role involves hybrid work collaborating with cross functional teams to deliver reliable data pipelines improve audience insights and enable data driven strategies that enhance content performance and operational efficiency.
Responsibilities
Design robust PySpark data pipelines that efficiently ingest transform and aggregate large scale media and entertainment datasets to support analytics and reporting needsImplement optimized PySpark code that enhances performance of batch and near real time data processing for audience metrics and content consumption patternsCollaborate with data engineers analysts and product teams in a hybrid work model to understand media business requirements and translate them into scalable technical solutionsDevelop reusable data frameworks and components that standardize processing of streaming video on demand and advertising data while ensuring consistency and reliabilityApply data quality checks validation routines and monitoring mechanisms within PySpark workflows to maintain accurate and trustworthy data for content and revenue decisionsIntegrate data from multiple media platforms and content management systems into unified data models that enable holistic views of audience engagement and catalog performanceOptimize storage formats partitioning strategies and execution configurations in PySpark to reduce processing time and infrastructure costs for large media datasetsCollaborate with stakeholders to deliver clear and timely data outputs that support programming strategy recommendation engines campaign measurement and operational dashboardsDocument technical designs PySpark jobs data flows and configuration details to ensure maintainability and smooth handover across distributed development teamsEnsure compliance with data governance security and privacy standards relevant to media and entertainment usage while working within day shift schedulesTroubleshoot production pipeline issues perform root cause analysis and implement corrective actions to minimize disruption to critical reporting and analytics for content operationsContribute to continuous improvement initiatives by proposing enhancements to data pipeline architecture coding practices and automation capabilities in the PySpark ecosystemSupport testing activities by preparing sample datasets validating outputs and collaborating with quality teams to ensure that delivered data solutions align with business expectations
Qualifications
Demonstrate strong proficiency in PySpark programming and distributed data processing with a track record of building scalable data pipelines for analytical workloadsPossess solid understanding of media and entertainment domain concepts including audience measurement content metadata streaming events advertising metrics and catalog managementBring experience working with big data platforms and data warehousing technologies that commonly integrate with PySpark driven solutions for large enterprisesExhibit familiarity with version control collaborative development practices and hybrid work environments that rely on structured communication and documentationShow capability to analyze complex data requirements from media stakeholders and convert them into efficient data models and transformation logic using PySparkDisplay knowledge of best practices in performance tuning resource optimization and job scheduling for PySpark applications processing high volume media dataDemonstrate experience with data quality frameworks validation techniques and monitoring tools that help maintain reliable data assets for business critical reporting
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
