9 days ago
Chennai, IndiaSenior
Responsibilities
- Design and implement scalable data pipelines with AWS Glue and Apache Spark.
- Develop and maintain data storage and warehousing solutions using Amazon S3 and Amazon Redshift.
- Use Python to build scripts and applications for data processing and automation.
- Monitor and troubleshoot AWS DevOps environments and optimize workflows for performance and reliability.
- Collaborate with cross-functional teams and stakeholders to translate requirements into technical solutions.
- Conduct code reviews, apply development best practices, and maintain comprehensive documentation.
- Ensure compliance with cloud security standards when handling sensitive data.
- Mentor junior developers and identify opportunities to leverage emerging technologies.
Requirements
- 6 to 9 years of experience.
- Strong expertise in AWS DevOps, including deployment automation and infrastructure management.
- Proficiency with Amazon Redshift, Python, AWS Glue, Apache Spark, and Amazon S3.
- Strong problem-solving, troubleshooting, communication, ownership, and collaboration skills.
- Demonstrated ability to deliver high-quality solutions within deadlines and budget constraints.
- Understanding of cloud security principles and best practices.
- AWS Certified DevOps Engineer certification required.
- AWS Certified Solutions Architect certification required.
- Apache Spark Certification required.
Benefits
- Hybrid work model.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.