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# Data Engineer

- **Company:** JSR Tech Consulting
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Computer Programming, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), Data Systems, Relational Databases, File Systems, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Network Attached Storage (Server Appliance), Role-Based Access Control, Shell Script, Amazon Simple Notification Service (SNS), Software Engineering, SQL Stored Procedures, SQL Databases, DevOps Tools - Open-source, Delivery Pipeline, Apache Spark, Cloudformation, Servicebus, Amazon Relational Database Service, Information Technology, Data Lineage, AWS Data Analytics, Apache Kafka, SAP Ariba, Cloudwatch, Amazon Simple Queue Service (SQS), Marketplace, Data Pipelines, Jenkins
- **Published:** September 30, 2026
- **Apply:** https://www.thejobnetwork.com/job/40d0c610-36ca-4b00-9905-4c8fb5ed82cf/senior-data-engineer

## About the Role

* 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

## Description

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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