Job Summary
We are seeking a highly skilled Manager-Data & ML Engineering with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Azure Databricks and Azure Platform and will work in a hybrid model with day shifts. This role involves managing data engineering projects ensuring the successful implementation of machine learning solutions and contributing to the companys data-driven initiatives.
Responsibilities
- Oversee the design and implementation of data engineering solutions using Azure Databricks to drive business insights and efficiency.
- Collaborate with cross-functional teams to integrate machine learning models into existing data pipelines for enhanced decision-making.
- Ensure the scalability and reliability of data platforms by leveraging Azure Platform capabilities.
- Lead the development of data processing frameworks that support real-time analytics and reporting.
- Provide technical guidance and mentorship to junior engineers to foster a culture of continuous learning and improvement.
- Monitor and optimize data workflows to ensure high performance and cost-effectiveness.
- Coordinate with stakeholders to understand data requirements and translate them into actionable engineering plans.
- Implement best practices for data governance and security to protect sensitive information and maintain compliance.
- Drive innovation by exploring new data technologies and methodologies to enhance the companys data capabilities.
- Facilitate the deployment of machine learning models into production environments ensuring seamless integration and operation.
- Analyze and troubleshoot data-related issues providing timely resolutions to minimize disruptions.
- Collaborate with data scientists to refine algorithms and improve model accuracy and performance.
- Report on project progress and outcomes to senior management highlighting key achievements and areas for improvement.
Qualifications
- Possess a strong background in Azure Databricks and Azure Platform with proven experience in data engineering.
- Demonstrate proficiency in building and managing data pipelines and workflows.
- Exhibit excellent problem-solving skills and the ability to troubleshoot complex data issues.
- Show experience in mentoring and guiding junior team members to achieve project goals.
- Have a solid understanding of data governance and security best practices.
- Display strong communication skills to effectively collaborate with cross-functional teams.
- Be adept at managing multiple projects simultaneously ensuring timely delivery and quality outcomes.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
