Skill: Pyspark, AWS
Exp: 6 to 12 years
Location: Pune
Job Summary
We are seeking an experienced AWS PySpark Developer to design, develop, and optimize large-scale data processing pipelines in the cloud. The ideal candidate will have strong expertise in PySpark, AWS services, and ETL workflows, with a focus on building scalable, high-performance data solutions for analytics and reporting.
Key Responsibilities
- Design, develop, and maintain ETL pipelines using PySpark on AWS.
- Work with large datasets to perform data cleansing, transformation, and aggregation.
- Optimize Spark jobs for performance and cost efficiency.
- Integrate data from multiple sources including AWS S3, RDS, Redshift, DynamoDB, and APIs.
- Implement data quality checks and ensure compliance with governance policies.
- Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
- Deploy and monitor jobs using AWS Glue, EMR, Step Functions, or Lambda.
- Troubleshoot and resolve issues in production data pipelines.
- Maintain documentation for data flows, transformations, and architecture.
Required Skills & Qualifications
- 3–7 years of experience in data engineering or big data development.
- Strong proficiency in PySpark and Spark SQL.
- Hands-on experience with AWS services such as:
- S3, Glue, EMR, Lambda, Athena, Redshift, IAM
- Solid understanding of ETL concepts and data warehousing.
- Proficiency in Python for scripting and automation.
- Experience with version control (Git) and CI/CD pipelines.
- Strong problem-solving skills and ability to work in an agile environment.
Preferred Skills
- Experience with AWS Glue Studio and Glue Catalog.
- Knowledge of Airflow or other orchestration tools.
- Familiarity with streaming data using Kafka or Kinesis.
- Exposure to Terraform or CloudFormation for infrastructure as code.
- Understanding of data security and encryption in AWS.
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。
