Senior Python Data Engineer

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Atlanta, Georgia.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

3 to 6 years of software or data engineering background.

Expert-level Python development skills with hands-on experience using data processing frameworks such as Pandas and PySpark .

Strong experience designing and implementing scalable data pipelines and data transformation solutions.

Deep knowledge of AWS cloud services, including Lambda, API Gateway, Kinesis, SQS, and EventBridge .

Experience building REST APIs, event-driven architectures, and enterprise integration solutions.

Strong understanding of software engineering best practices, testing methodologies, and CI/CD processes.

Experience working in agile development environments and collaborating across technical teams.

Experience with the Databricks platform and cloud-based analytics solutions.

Knowledge of large-scale distributed data processing and big data architectures.

Experience leveraging AI-assisted development tools to improve engineering productivity.

Familiarity with modern data integration patterns and serverless application design.

Strong communication and technical documentation skills.

Benefits:

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance.

Paid holidays plus Paid Time Off.

401(k) plan and contributions.

Long-term/Short-term Disability.

Paid Parental Leave.

Employee Stock Purchase Plan.