Cognizant Technology Solutions-posted 27 days ago
$81,000 - $130,000/Yr
Full-time • Mid Level
Boston, MA
5,001-10,000 employees
Professional, Scientific, and Technical Services

Cognizant is one of the world's leading professional services companies, redefining clients' business, operating, and technology models for the digital era. Our outstanding industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S. Learn how Cognizant helps clients lead with digital at www.cognizant.com. Please note, this role is not able to offer visa transfer or sponsorship now or in the future Role Overview: We are seeking an experienced AWS Data Engineer to design, develop, and maintain cloud-based solutions leveraging AWS services. The ideal candidate will have hands-on expertise in data integration, serverless computing, and analytics, ensuring scalable and secure cloud architectures.

  • Design and implement ETL pipelines using AWS Glue for data transformation and integration.
  • Develop and manage serverless applications using AWS Lambda.
  • Optimize and execute SQL queries on large datasets using Amazon Athena.
  • Configure and maintain Amazon Redshift for data warehousing and analytics.
  • Perform database migrations and replication using AWS Database Migration Service (DMS).
  • Build and deploy analytics solutions using Q Developer for business insights.
  • Ensure security, compliance, and cost optimization across AWS environments.
  • Collaborate with cross-functional teams to deliver cloud-based solutions aligned with business needs.
  • Proven experience with AWS services: Glue, Lambda, Athena, Redshift, DMS.
  • Strong knowledge of Python, SQL, and data modeling.
  • Familiarity with Q Developer for analytics and dashboard development.
  • Understanding of cloud architecture best practices and security principles.
  • Excellent problem-solving and communication skills.
  • AWS Certified Solutions Architect or AWS Certified Data Analytics.
  • Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  • Knowledge of big data technologies and data lake architectures.
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service