Experience: 5 to 13 years
Location: Bangalore & Hyderabad
Primary Skills: Python, Pyspark, SQL
Job Description
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Develop and optimize data processing solutions using Python and PySpark.
- Write complex and high-performing SQL queries for data extraction, transformation, and analysis.
- Work with large datasets and distributed computing frameworks to support data engineering initiatives.
- Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.
- Troubleshoot and resolve performance, scalability, and data quality issues.
- Contribute to data platform modernization and best practices.
Skills
- 5–13 years of experience in Data Engineering or related roles.
- Strong hands-on experience in Python development.
- Proven experience with PySpark for large-scale data processing.
- Strong knowledge of SQL, including query optimization and performance tuning.
- Exposure to or working knowledge of Scala.
- Experience working with cloud-based or enterprise data platforms.
Strong analytical, problem-solving, and communication skills.
Preferred Skills
Experience with data warehousing and ETL frameworks.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
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
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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。
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