Job Title - Python-Snowflake Data engineer
Remote
** No Visa sponsorship/ Transfer/ c2c available for this role**
Job Summary
This role is for a senior developer with six to ten years of experience who designs and develops data solutions using Python and Snowflake platforms in a hybrid work model. The role focuses on building scalable data pipelines and robust Snowflake SQL tasks to support complex analytics for enterprise clients, with added value if the individual has experience in property and casualty insurance data.
Responsibilities
- -Design and implement scalable data processing solutions using Python that transform raw data into reliable assets for analytics and reporting -Develop and optimize complex Snowflake SQL queries and tasks that support enterprise data warehousing and operational reporting needs -Build resilient batch and near real time data pipelines that move data efficiently across systems while maintaining accuracy and consistency -Create reusable Python modules and frameworks that standardize data ingestion transformation and validation patterns across multiple projects -Optimize Snowflake workloads by tuning queries managing clustering strategies and improving resource usage to deliver predictable performance -Implement robust monitoring and alerting for Snowflake tasks and Python jobs to detect issues early and reduce downtime for data consumers -Collaborate with data architects analysts and product partners to translate business requirements into technical designs and implementation plans -Document data models data flows and pipeline logic clearly so that teams can maintain troubleshoot and extend solutions with confidence -Apply secure coding practices and data protection standards to ensure that sensitive data is handled responsibly across all solutions -Contribute to continuous improvement of development standards code review practices and automation approaches within the engineering team -Work closely with stakeholders to prioritize enhancements resolve defects and deliver incremental value through well planned releases -Analyze production incidents identify root causes and implement preventive improvements that strengthen the stability of data platforms -Leverage domain understanding in property and casualty insurance when available to design data solutions that reflect practical underwriting claims and policy use cases .
Salary and Other Compensation:
The annual salary for this position is between $100-109K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
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。
