AWS Cloud Engineer

Insight Global
Newark, NJ, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Cloud Computing Cloud Database Cloud Engineering Continuous Integration Information Engineering Extract Transform Load (ETL) Data Systems Data Virtualization
+23 more
Data Warehousing DevOps Identity and Access Management Python (Programming Language) Operational Databases Role-Based Access Control Cloud Services Standard Sql DataOps Enterprise Data Management Apache Spark AWS Lambda Cloudformation Data Lakes Data Lineage AWS Data Analytics Data Management Functional Programming Cloudwatch Amazon Simple Queue Service (SQS) Marketplace Data Pipelines Jenkins

Job description

Insight Global is hiring a Senior AWS Data Engineer with strong DevOps experience to support Prudential’s Chief Data & AI Office. In this role, you will help build and optimize the Enterprise Data Platform (EDP) on AWS, enabling secure, scalable, and reliable access to enterprise data across the organization. You will work closely with architecture and engineering teams to design and implement data solutions using AWS, Informatica, and Ataccama, integrate data from multiple source systems and APIs, and provide recommendations to improve platform performance, scalability, and overall data management capabilities. This role is heavily focused on technology implementation, cloud architecture, and building a modern data ecosystem that supports data accessibility, governance, and reuse across the enterprise.

Requirements

  • AWS Solutions Architect or AWS Developer certification.
  • 8+ years of hands-on AWS engineering experience, designing, building, and supporting enterprise-scale cloud solutions.
  • Deep hands-on experience with core AWS services, particularly, S3, Glue, Lambda, SQS, IAM, Cloud formation, Event Bridge and CloudWatch
  • 5+ years of Data Engineering experience, including building end-to-end data pipelines and ETL/ELT solutions to ingest, transform, integrate, and move data across AWS services.
  • Strong experience with Infrastructure as Code and cloud automation, particularly AWS CloudFormation
  • Advanced Python and SQL skills, with experience developing automation, Glue jobs, Lambda functions, and production data pipelines.
  • Strong DevOps/CI/CD experience, particularly Jenkins, with experience automating cloud infrastructure and application/data-platform deployments.
  • Experience working with AWS data services and architectures, including data lakes and data warehouses, with exposure to services such as Redshift, EMR/Spark, Athena, and Step Functions. Strong understanding of AWS security and access controls, including IAM/RBAC and securing enterprise cloud environments.
  • Hands-on experience with Informatica Data Catalog, Data Lineage, and Data Marketplace.
  • Hands-on experience with Ataccama RDM, MDM, and Data Observability solutions. Knowledge of semantic layer and data virtualization technologies, such as Denodo.

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