Job Summary
Sr. Data Engineer role in a global organization focused on designing and optimizing data and analytics platforms using Python Snowflake Cortex and Snowflake SQL within a hybrid work environment. Has handson experiecne in working in GCP Cloud. Role spans end to end solution architecture performance engineering data governance and collaboration with product and business partners to deliver reliable secure and scalable data products that drive measurable business and societal impact.
Responsibilities
Design end to end data platform architectures that leverage Python Snowflake Cortex and Snowflake SQL to deliver secure scalable and maintainable analytics solutions aligned to enterprise standards and long term product vision.Define target state data models and integration patterns in Snowflake that enable efficient analytics reporting and machine learning workloads while optimizing storage query performance and cost.Develop reference implementations and reusable solution patterns using Python and Snowflake features that help engineering teams deliver consistent high quality data products at speed.Collaborate closely with product owners and business stakeholders to translate complex analytical and reporting needs into clear technical architectures and implementation roadmaps.Guide engineering teams on best practices for coding testing deployment and observability of Python based data pipelines and Snowflake workloads to ensure reliability and maintainability.Review solution designs database schemas and query strategies to identify performance bottlenecks and recommend concrete improvements that enhance responsiveness and user experience.Establish governance standards for data quality security access control and lineage within Snowflake to protect sensitive information and support regulatory and compliance expectations.Evaluate new Snowflake Cortex capabilities and related ecosystem tools assess their fitness for purpose and propose pragmatic adoption paths that maximize value for the organization.Create clear technical documentation solution diagrams and implementation guidelines that make it easy for engineering and analytics teams to understand adopt and extend the designed architectures.Partner with enterprise architecture security and infrastructure teams to ensure that data solutions align with broader architectural principles security policies and operational resilience goals.Support incident resolution and root cause analysis for complex data and analytics issues by providing architectural insights technical guidance and actionable recommendations.Mentor engineers and data professionals on modern data architecture concepts Snowflake optimization techniques and Python development standards to uplift overall team capability.Champion responsible and ethical data usage by promoting privacy aware designs and transparent data practices that enhance trust with customers and communities.
Qualifications
Demonstrate ten to fourteen years of experience in designing and implementing data or analytics solutions with a strong focus on building robust and scalable architectures.Show deep hands on proficiency in Python for data processing orchestration and integration including the use of relevant libraries and frameworks for production ready solutions.Exhibit advanced practical experience with Snowflake SQL for data modeling query tuning and implementing complex transformations that meet stringent performance expectations.Possess working experience with Snowflake Cortex capabilities or closely related Snowflake native services used to enable intelligent and automated analytics workflows.Bring solid understanding of data warehousing dimensional modeling and modern data platform concepts including separation of storage and compute workload isolation and cost optimization.Apply strong skills in designing secure data architectures that incorporate role based access encryption practices and governance controls suitable for an enterprise context.Communicate effectively with technical and non technical partners using clear language and structured artifacts to align expectations and enable smooth solution delivery.Work comfortably in a hybrid work model by using collaboration tools documentation and structured communication practices to maintain transparency and productivity across locations.
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。
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