Job Summary
We are seeking an experienced Senior Data Engineer with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in AWS Glue Amazon Redshift PySpark Python AWS Cloud Formation Databricks Databricks CLI Data Unity Catalogue other AWS services and Spark Optimization. This role involves designing and optimizing cloud-based solutions ensuring efficient data processing and storage.
Responsibilities
- Design and implement scalable cloud-based architectures using AWS services to support business objectives.
- Optimize Spark applications for performance and efficiency ensuring seamless data processing.
- Develop and maintain AWS Cloud Formation templates for infrastructure automation and management.
- Utilize Amazon RDS and Amazon Redshift for efficient data storage and retrieval ensuring data integrity.
- Monitor and manage cloud resources using AWS CloudWatch to ensure optimal performance and cost-effectiveness.
- Implement and manage AWS IAM policies to ensure secure access and compliance with organizational standards.
- Leverage Amazon DynamoDB for high-performance scalable database solutions.
- Develop ETL processes using AWS Glue to facilitate seamless data integration and transformation.
- Utilize Amazon S3 for secure and reliable data storage ensuring data availability and durability.
- Collaborate with cross-functional teams to ensure alignment of cloud solutions with business goals.
- Provide technical guidance and support to team members fostering a culture of continuous learning and improvement.
- Stay updated with the latest industry trends and AWS advancements to drive innovation within the organization.
- Contribute to the companys mission by delivering efficient and sustainable cloud solutions that enhance operational efficiency.
Qualifications
- Possess strong expertise in Spark Optimization and AWS Cloud Formation essential for designing robust cloud solutions.
- Demonstrate proficiency in Amazon RDS Redshift and DynamoDB crucial for managing and optimizing data storage.
- Exhibit experience in AWS CloudWatch and IAM necessary for monitoring and securing cloud environments.
- Have hands-on experience with AWS Glue ETL and Amazon S3 important for data integration and storage solutions.
- Show proficiency in Python and Apache Spark beneficial for developing and optimizing data processing applications.
- Experience in Smart Grid Operations is a plus providing valuable domain knowledge for relevant projects.
Work Location: On site
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Palm Beach, FL.
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。
