Job Summary
This hybrid day shift role seeks a seasoned Technical Lead with eight to twelve years of experience in designing and optimizing data solutions using Apache Synapse Synapse Pipelines and Azure Synapse. The role focuses on delivering resilient analytics platforms for media and entertainment initiatives ensuring scalable data flows that support audience insights content performance analysis and business growth.
Responsibilities
- Drive end to end design of data integration solutions using Apache Synapse and Synapse Pipelines to support complex analytics needs for media and entertainment programs
- Develop robust Azure Synapse architectures that efficiently process large scale content consumption data enabling timely insights for programming and marketing teams
- Implement optimized data models tailored to media usage patterns that enhance reporting accuracy for streaming performance ratings and audience engagement metrics
- Coordinate hybrid work activities and ensure continuous collaboration between onsite and remote team members to maintain predictable delivery of analytics features
- Configure and maintain secure data pipelines that respect regional regulations for content and user data ensuring compliant insights for global media strategies
- Analyze existing data workflows in media and entertainment systems and recommend improvements that reduce latency and accelerate delivery of dashboards for decision makers
- Optimize extraction and transformation processes from diverse media sources such as content catalogs viewing logs and advertising platforms to provide unified analytics views
- Guide resolution of technical issues related to Apache Synapse or Azure Synapse environments ensuring minimal disruption to daily reporting and campaign analysis
- Collaborate with data scientists and business analysts to convert audience behavior hypotheses into production grade pipelines that support experimentation and continuous optimization
- Document solution designs operational procedures and hybrid work practices in a clear and accessible manner to support maintainability and onboarding of new team members
- Monitor performance of Synapse Pipelines and storage layers and implement tuning strategies that improve responsiveness of interactive analytics tools used by content stakeholders
- Align technical implementations with sustainability and efficiency goals by designing resource conscious data processes that minimize compute waste while meeting platform performance expectations
- Support day shift release and validation activities by coordinating deployments testing and incident follow up which helps media operations run smoothly without overtime disruptions
Qualifications
- Demonstrate substantial hands on expertise in Apache Synapse configuration pipeline orchestration and troubleshooting for data driven media analytics
- Show advanced proficiency in designing and operating Synapse Pipelines including complex transformations and scheduling logic aligned with entertainment content life cycles
- Apply deep experience with Azure Synapse services such as dedicated SQL pools serverless querying and security controls to build enterprise grade analytics platforms
- Bring proven domain experience in media and entertainment with practical exposure to content distribution audience measurement and advertising data ecosystems
- Use strong data engineering skills in areas such as SQL performance tuning data warehousing and batch or near real time processing to support demanding analytics workloads
- Exhibit solid understanding of hybrid work models and modern collaboration practices ensuring consistent communication and efficient delivery in mixed location teams
- Display effective problem solving and analytical abilities that enable quick diagnosis of pipeline failures data quality issues and performance bottlenecks in Synapse workloads
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
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