Senior AWS Data Engineer

Job Description

Senior AWS Data Engineer / DevOps Engineer

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Contract Opportunity with a Major Investment Firm

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Location: Newark, NJ (Hybrid – 3 days onsite per week)

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Join a highly visible Enterprise Data Platform team responsible for designing and building cloud-native data solutions supporting enterprise analytics, governance, and modern data architecture initiatives. You'll work in a cutting-edge AWS environment leveraging advanced data engineering, DevOps, and data governance technologies.

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This is an excellent opportunity for an experienced AWS Data Engineer who enjoys building scalable data pipelines, automating infrastructure, and working across cloud engineering, DevOps, and enterprise data platforms.

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What You'll Be Working With

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The environment includes several leading enterprise data management platforms, including:

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• Informatica Data Catalog
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• Informatica Data Marketplace
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• Informatica Data Lineage
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• Informatica Data Quality
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• Denodo
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• Ataccama
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Experience with any of these platforms is considered a strong plus.

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Key Responsibilities

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• Design, develop, and maintain scalable AWS-based data engineering solutions.
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• Build automated data ingestion pipelines from databases, APIs, file systems, and NAS shares into AWS data lakes and relational databases.
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• Develop end-to-end data solutions including ingestion, storage, processing, integration, and data access.
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• Design and implement modern ETL/ELT pipelines.
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• Build enterprise-scale AWS Data Lake and Data Warehouse solutions.
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• Develop infrastructure using Infrastructure as Code (CloudFormation).
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• Build and maintain CI/CD pipelines using Jenkins and CloudBees.
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• Implement DevOps best practices across AWS environments.
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• Create automated deployment pipelines integrating SonarQube, security scans, and automated testing.
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• Collaborate with architecture, QA, product, and engineering teams throughout the SDLC.
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• Participate in Agile ceremonies including estimation, planning, code reviews, and sprint execution.
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• Troubleshoot application and pipeline performance issues.
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• Document technical designs, implementation decisions, issues, and lessons learned.
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• Stay current with emerging AWS technologies and engineering best practices.
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Required Qualifications

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• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field.
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• 8+ years of Data Engineering experience.
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• AWS Solutions Architect or AWS Developer Certification (required).
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• Strong experience building cloud-native data platforms on AWS.
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• Experience developing enterprise data ingestion pipelines.
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• Strong Python, SQL, and Shell scripting experience.
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• Experience with AWS Data Lake and Data Warehouse architectures.
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• Experience implementing ETL/ELT solutions.
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• Strong DevOps experience with CI/CD automation.
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Hands-on experience with AWS services including:

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• CloudFormation
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• S3
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• Athena
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• Glue
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• Glue DataBrew
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• EMR / Spark
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• RDS
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• Aurora
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• Redshift
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• DynamoDB
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• Lambda
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• Step Functions
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• IAM
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• KMS
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• Secrets Manager
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• EventBridge
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• EC2
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• SQS
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• SNS
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• Lake Formation
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• CloudWatch
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• CloudTrail
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• DataSync
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• DMS
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Preferred Experience

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• Amazon Kinesis
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• AWS Managed Airflow
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• AWS Managed Kafka (MSK)
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• Redshift RBAC
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• AWS IAM security models
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• Jenkins
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• CloudBees
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• Bitbucket
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• Docker
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• Maven
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• Gradle
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• MS Build
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• SonarQube
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• Artifactory
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• Jira
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• Confluence
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• Groovy scripting
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• API deployment automation
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