Job Summary
We are seeking an experienced Lead Data Engineer with 8 to 12 years of expertise in Snowflake Machine Learning Python and SQL scripting. The role involves analyzing complex datasets deriving actionable insights and contributing to data-driven decision-making in a hybrid work model with day shifts.
Responsibilities
Analyze large and complex datasets to identify trends patterns and actionable insights that align with business objectivesDevelop and maintain scalable data pipelines using Snowflake to ensure efficient data storage and retrievalApply machine learning techniques to solve business problems and improve predictive analytics capabilitiesWrite efficient and optimized SQL scripts to query and manipulate data for reporting and analysisCollaborate with cross-functional teams to understand data requirements and provide solutions that meet organizational goalsCreate and maintain dashboards and visualizations to present data insights in a clear and impactful mannerEnsure data accuracy and integrity by implementing robust data validation and quality checksProvide technical expertise in Python programming to automate data processing tasks and streamline workflowsConduct exploratory data analysis to uncover hidden insights and opportunities for business growthStay updated with industry trends and advancements in data analytics and machine learning to continuously improve processesDocument data processes methodologies and findings to ensure knowledge sharing and continuitySupport ad-hoc data analysis requests and deliver timely insights to stakeholdersCollaborate with IT teams to ensure seamless integration of data systems and tools. QualificationsDemonstrate strong proficiency in Snowflake for data warehousing and analyticsShowcase expertise in machine learning algorithms and their practical applicationsExhibit advanced skills in Python programming for data manipulation and automationPossess deep knowledge of SQL scripting for querying and managing relational databasesDisplay excellent problem-solving skills and the ability to work with complex datasetsHave a solid understanding of data visualization tools and techniquesShow familiarity with data governance and best practices for ensuring data qualityDemonstrate effective communication skills to present findings to non-technical stakeholdersPossess a bachelors degree in computer science data analytics or a related fieldHold a proven track record of delivering impactful data-driven solutions in previous rolesExhibit strong collaboration skills to work effectively with cross-functional teamsShow adaptability to hybrid work environments and the ability to manage tasks independently.
Certifications Required
Snowflake Certified Data Engineer Python for Data Science Certification SQL Programming Certification
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。
