Architect

Job Summary Seeking a senior AWS Data Engineer with 7 to 10 years of experience.

Responsibilities

AWS Data Engineer Skillset Claude code is a required skill - Should have at least completed trainings A. Core AWS Data Engineering - Required Strong experience building pipelines using AWS Glue or Lambda PySpark or Python for batch and micro-batch processing Medallion architecture implementation - Bronze or Silver or Gold layers Amazon S3 data lake design for raw curated and certified zones Amazon Athena for analytical querying and cost aware access patterns Apache Iceberg table design partitioning and maintenance Snapshot management and time travel usage in Iceberg Amazon Redshift for high concurrency and analytical workloads Amazon RDS - approved engines for operational and serving data stores B. Pipeline Orchestration and Eventing - Required Workflow orchestration using AWS Step Functions Event-driven ingestion using Amazon EventBridge AWS Lambda for lightweight processing and control plane logic AWS Fargate and approved container platforms for scalable execution Coordination of batch micro batch and event driven pipelines Error handling retries and compensating actions State management for long running and multi stage workflows C. Data Reliability and Operational Readiness -Required Design of idempotent restartable pipelines Backfill and reprocessing strategies Definition and monitoring of pipeline SLAs or SLOs Integration with enterprise monitoring and alerting tools D. Cost and Performance Engineering - Strongly Preferred Athena or RDS or Redshift query optimization and cost management Glue job sizing tuning and cost controls Lambda execution optimization memory duration invocation patterns Cost efficient use of Fargate and containerized workloads S3 storage optimization across Bronze or Silver or Gold layers Awareness of end to end AWS cost tradeoffs across storage compute and orchestration

Certifications Required AWS Certification preferred.

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.