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
- 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling
- AWS Solutions Architect or AWS Developer Certification required
- Strong hands-on experience with AWS services, including:
- CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark
- RDS, Redshift, DynamoDB, Lambda, Step Functions
- IAM, KMS, SM, EventBridge, EC2, SQS, SNS
- LakeFormation, CloudWatch, CloudTrail, DataSync, DMS
- Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred)
- Proven experience building AWS data lake/data warehouse solutions
- Skilled in designing, developing, and implementing data ingestion pipelines on AWS
- Knowledge of ETL/ELT implementation for data solutions
- Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access
- Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model
- Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins
- Strong programming skills in Python, Shell scripting, and SQL
- Experience with SQL stored procedures for data analysis
- Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift
- Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases
- Solid DevOps background, including:
- Bitbucket (source code management)
- Python, Shell, Groovy scripting
- API deployment for tooling integration
- Jenkins and CloudBees (Pipeline as Code, Shared Libraries)
- SonarQube, Artifactory, and similar DevOps tools
- Maven, MS Build, Gradle
- Docker
- Jira and Confluence
- Infrastructure as Code via CloudFormation
- Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation
- 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
- Ensure optimal performance and quality of high-scale data applications and services
- Participate in system design discussions
- Independently perform hands-on development and unit testing
- Collaborate with the development team to integrate components into the enterprise data platform
- Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle
- Identify and resolve performance issues
- Stay current with emerging technologies and implementation practices
- Participate in code reviews to ensure standards and best practices are met
- Take ownership of estimating, planning, and managing tasks in an Agile environment
- Take shared responsibility for software quality rather than relying on separate QA teams
- Collaborate closely with all team members toward shared goals
- Engage with users as needed to clarify requirements
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