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.
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。
