Skill: Python, Pyspark, AWS
Exp: 6 to 12 years
Location: Pune
Job Summary
We are seeking a skilled Python + PySpark + AWS Developer to design, develop, and maintain scalable data engineering solutions. The role involves building high-performance ETL pipelines, processing large datasets, and integrating with AWS cloud services to support enterprise analytics and reporting needs.
Key Responsibilities
- Design, develop, and optimize ETL pipelines using PySpark and Python.
- Work with large-scale datasets to perform data cleansing, transformation, and aggregation.
- Integrate with AWS services such as S3, Glue, EMR, Lambda, Redshift, Athena, Kinesis.
- Implement data lake and data warehouse solutions on AWS.
- Ensure data quality, consistency, and security across all processing stages.
- Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
- Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.
- Follow best practices for code versioning, CI/CD, and cloud resource management.
- Write unit tests and maintain documentation for all developed solutions.
Required Skills & Qualifications
- Strong programming skills in Python (data manipulation, APIs, automation).
- Hands-on experience with PySpark for distributed data processing.
- Proficiency in AWS cloud services (S3, Glue, EMR, Lambda, Redshift, Athena, IAM).
- Solid understanding of SQL and relational database concepts.
- Experience with data lake and data warehouse architectures.
- Knowledge of ETL/ELT design patterns and best practices.
- Familiarity with Git and CI/CD tools (e.g., Jenkins, GitHub Actions).
- Strong problem-solving and debugging skills.
- Bachelor’s degree in Computer Science, Information Technology, or related field.
Preferred Skills
- Experience with streaming data (Kafka, Kinesis).
- Knowledge of Docker and containerized deployments.
- Familiarity with Terraform or CloudFormation for infrastructure as code.
- Exposure to machine learning pipelines in a big data environment.
- Understanding of data governance and compliance standards.
Work Environment
- Location: Onsite / Remote / Hybrid (as per company policy)
- Team: Works closely with data engineers, analysts, and cloud architects.
- Tools: AWS Cloud, Spark, Python, SQL, Git, CI/CD pipelines.
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.











