AWS Cloud Engineer

Insight Global; Newark (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Insight Global is hiring a Senior AWS Data Engineer with strong DevOps experience to support Prudential's Chief Data & AI Office. 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

Qualifications

• 8+ years AWS engineering experience with enterprise-scale solutions.
• 5+ years Data Engineering, end-to-end pipelines on AWS.
• Strong DevOps/CI/CD experience, Jenkins.
• Experience with IAM/RBAC, data security and governance.

Skills

AWS Certification

AWS Engineering

Core AWS Services

Data Engineering

Infrastructure as Code

Python

SQL

CI/CD

Jenkins

AWS Security

Tools

Informatica Data Catalog

Ataccama

Denodo

Job description

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.

Skills and 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].