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Sr. AWS Data Engineer

Job

Cognizant

Remote

Full-Time

Posted 1 week ago (Updated 6 days ago) • Actively hiring

Expires 7/9/2026

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Job Description

Please note, this role is not able to offer visa transfer or sponsorship now or in the future. Sr. AWS Data Engineer About the Role As a Sr. AWS Data Engineer, you will make an impact by designing, building, and optimizing cloud-native data solutions that power enterprise-scale analytics and data platforms. You will be a valued member of our Data Engineering team and work collaboratively with architects, data scientists, and business stakeholders to deliver robust, scalable pipelines and infrastructure on AWS .
In This Role, You Will:
  • Design and implement scalable
ETL / ELT
pipelines and data transformation frameworks using AWS
  • native services including Glue, EMR , Lambda, and Kinesis.
  • Architect and manage data lake and data warehouse solutions leveraging Amazon S3, Redshift, and Aurora to support large-scale analytical workloads.
  • Lead data migration, replication, and database modernization initiatives using AWS DMS and related tooling.
  • Develop and maintain workflow orchestration using Apache Airflow and perform performance tuning and optimization for large-scale datasets.
  • Partner with cross-functional teams in Agile delivery models to ensure data solutions align with business requirements and architectural standards.
Work Model We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. 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. What You Need to Have to Be Considered
  • 10+ years of experience in data engineering, with strong hands-on expertise in AWS cloud-native data solutions.
  • Proficiency with core AWS data services: Glue, Redshift, Aurora, S3 (Data Lakes), Lambda, EMR (Spark/Hadoop), Athena, Kinesis (Streaming), and DMS .
  • Strong knowledge of SQL and data modeling concepts, including experience designing
ETL / ELT
pipelines and data transformation frameworks.
  • Experience with Python, PySpark, or similar scripting/programming languages for data engineering tasks.
  • Solid understanding of data migration, replication, database modernization strategies, and performance t To view full details and how to apply, please login or create a Job Seeker account