Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and PySpark.
- Build and manage ETL/ELT workflows for processing structured and unstructured data.
- Develop and optimize Spark applications to handle large-scale datasets efficiently.
- Implement cloud-native data solutions using AWS services.
- Design and maintain Data Lakes on AWS.
- Perform data ingestion from multiple sources including APIs, databases, files, and streaming platforms.
- Monitor, troubleshoot, and optimize data workflows for performance and reliability.
- Ensure data quality, integrity, security, and governance standards are followed.
- Implement automation and orchestration of data workflows using scheduling tools.
- Collaborate with cross-functional teams for requirement gathering and solution design.
- Conduct code reviews, unit testing, and performance tuning.
- Prepare technical documentation and deployment procedures.
- Support production incidents and perform root cause analysis.
Mandatory Skills
- Strong expertise in Python
- Hands-on experience with PySpark
- Proficiency in SQL and query optimization
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.












