Senior Data Engineer

Job Description

Senior Data Engineer — Contract

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Location: Hybrid — 3 days/week onsite in Newark, NJ

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About the Role

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Join a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus.

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Qualifications

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• Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience
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• 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling
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• AWS Solutions Architect or AWS Developer Certification required
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• Strong hands-on experience with AWS services, including:
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• CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark
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• RDS, Redshift, DynamoDB, Lambda, Step Functions
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• IAM, KMS, SM, EventBridge, EC2, SQS, SNS
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• LakeFormation, CloudWatch, CloudTrail, DataSync, DMS
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• Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred)
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• Proven experience building AWS data lake/data warehouse solutions
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• Skilled in designing, developing, and implementing data ingestion pipelines on AWS
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• Knowledge of ETL/ELT implementation for data solutions
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• Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access
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• Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model
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• Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins
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• Strong programming skills in Python, Shell scripting, and SQL
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• Experience with SQL stored procedures for data analysis
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• Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift
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• Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases
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• Solid DevOps background, including:
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• Bitbucket (source code management)
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• Python, Shell, Groovy scripting
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• API deployment for tooling integration
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• Jenkins and CloudBees (Pipeline as Code, Shared Libraries)
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• SonarQube, Artifactory, and similar DevOps tools
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• Maven, MS Build, Gradle
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• Docker
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• Jira and Confluence
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• Infrastructure as Code via CloudFormation
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• Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation
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• Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned
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Responsibilities

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• Design, build, and maintain efficient, reusable, and reliable code
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• Ensure optimal performance and quality of high-scale data applications and services
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• Participate in system design discussions
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• Independently perform hands-on development and unit testing
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• Collaborate with the development team to integrate components into the enterprise data platform
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• Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle
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• Identify and resolve performance issues
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• Stay current with emerging technologies and implementation practices
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• Participate in code reviews to ensure standards and best practices are met
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• Take ownership of estimating, planning, and managing tasks in an Agile environment
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• Take shared responsibility for software quality rather than relying on separate QA teams
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• Collaborate closely with all team members toward shared goals
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• Engage with users as needed to clarify requirements
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