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# Senior AWS Data Engineer

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $108,000.0 - $123,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Big Data, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Systems, Data Warehousing, Python (Programming Language), Performance Tuning, Query Optimization, SQL Databases, Data Streaming, Indexer, Database Migration, Data Lakes, Pyspark, AWS Data Analytics, Functional Programming, Data Pipelines, Legacy Systems
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2eaba1f6b997fc8a

## About the Role

Do you have experience in System tuning?, * Strong experience in AWS data engineering with hands-on expertise in Glue, Redshift, EMR, S3, Lambda, Kinesis, and related services.

 * Proficiency in SQL and solid understanding of data modeling concepts and best practices.
 * Experience in designing ETL/ELT pipelines and scalable data transformation frameworks.
 * Strong programming skills in Python, PySpark, or similar technologies.
 * Knowledge of data lake and data warehouse architectures and implementation patterns.
 * Expertise in performance tuning and optimization for large-scale datasets.
 * Experience with data migration, replication, and database modernization strategies.
 * Proven ability to work effectively in Agile delivery environments.

## Description

We are seeking a Senior AWS Data Engineer to design and deliver scalable, cloud-native data solutions on AWS. This role focuses on building robust data pipelines, modernizing legacy systems, and enabling advanced analytics through data lakes and warehouses. You will work across batch and streaming architectures while ensuring high performance, reliability, and cost efficiency. The position requires strong expertise in AWS services, data modeling, and end-to-end data engineering practices.

In this role, you will:

 * Design and develop end-to-end data pipelines using AWS services such as Glue, EMR, Lambda, and Airflow.
 * Build and optimize data lake and data warehouse solutions using Amazon S3, Redshift, and Athena.
 * Develop and manage ETL/ELT frameworks for large-scale data transformation and processing.
 * Implement streaming data solutions using AWS Kinesis for real-time analytics use cases.
 * Lead database migration, replication, and modernization initiatives using AWS DMS and Aurora.
 * Ensure high performance and scalability through data partitioning, indexing, and query optimization.
 * Collaborate with cross-functional teams to deliver data solutions aligned with business requirements.
 * Follow Agile methodologies and contribute to continuous improvement of data engineering practices.


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