Job Summary
Sr Developer role in a hybrid work model focusing on end to end data engineering solutions using Amazon S3 Python and Snowflake SQL for a global enterprise. The role designs optimizes and maintains robust data pipelines and platforms that enable secure scalable and reliable analytics capabilities for business stakeholders while ensuring best practices and continuous improvement in a day shift environment.
Responsibilities
Design and implement scalable data ingestion pipelines using Amazon S3 to reliably collect organize and store large volumes of structured and semi structured data for enterprise analytics needs.Develop robust Python applications and scripts that automate data processing workflows improve system efficiency and reduce manual effort for business and technology teams.Build optimize and maintain Snowflake SQL data models including views tables and stored procedures to support high performance reporting and advanced analytical use cases.Collaborate with product owners business analysts and data consumers to translate complex functional requirements into clear technical designs and implementation plans that align with organizational objectives.Perform detailed performance tuning for Python code Snowflake SQL queries and Amazon S3 data access patterns to consistently achieve low latency and high throughput across critical workloads.Implement and maintain rigorous data quality checks reconciliation routines and validation frameworks to ensure that all data assets stored in Amazon S3 and Snowflake remain accurate complete and trustworthy.Apply secure coding and data protection practices in Python Snowflake SQL and Amazon S3 configurations to safeguard sensitive information and support compliance with internal policies and external regulations.Troubleshoot complex production issues across data pipelines storage layers and processing jobs using systematic root cause analysis and implement durable fixes that prevent recurrence and downtime.Document solution architectures data flows coding standards and operational procedures in a clear structured manner so that teams can easily maintain extend and reuse the implemented assets.Coordinate with infrastructure and platform teams to optimize resource usage schedule jobs appropriately and ensure that hybrid work arrangements support smooth collaboration and timely delivery of enhancements.Mentor junior developers in best practices for Amazon S3 Python and Snowflake SQL guiding code reviews encouraging clean design patterns and promoting continuous technical growth within the team.Contribute to continuous improvement by evaluating emerging features in Amazon S3 Python libraries and Snowflake capabilities and proposing pragmatic enhancements that increase reliability and business value.Support business stakeholders by providing accurate effort estimates transparent progress updates and data driven insights that help them make informed decisions and achieve measurable outcomes.
Qualifications
Demonstrate advanced proficiency in Amazon S3 including bucket configuration lifecycle management data organization and secure access integration with data processing tools.Show strong hands on experience in Python programming for data engineering including writing modular code handling errors effectively and using relevant libraries for data manipulation and automation.Exhibit deep practical knowledge of Snowflake SQL including query optimization schema design time travel features and role based access to deliver performant and secure data solutions.Bring proven experience of seven to nine years in designing building and maintaining end to end data pipelines for enterprise scale environments preferably in a hybrid work setup.Possess solid understanding of data warehousing concepts ETL principles and analytics reporting needs so that implemented solutions directly support business decision making.Apply effective communication and collaboration skills to work smoothly with cross functional partners in a day shift ensuring timely alignment and clear expectation management.
Certifications Required
good to have
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
