Intellectt Inc
Sr. AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. AWS Data Engineer in New Jersey (Hybrid) with a long-term contract. Requires 15+ years of experience, strong Terraform skills, and expertise in AWS services, ETL/ELT pipelines, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#PySpark #Data Storage #Data Governance #Metadata #Kafka (Apache Kafka) #Spark (Apache Spark) #Apache Iceberg #Cloud #Qlik #SQL Server #SQL (Structured Query Language) #SSIS (SQL Server Integration Services) #Storage #Programming #Aurora #Lambda (AWS Lambda) #AWS (Amazon Web Services) #GitHub #Infrastructure as Code (IaC) #Redshift #S3 (Amazon Simple Storage Service) #Data Quality #Python #Data Modeling #"ETL (Extract #Transform #Load)" #NoSQL #Schema Design #Terraform #Data Engineering
Role description
Role: Sr. AWS Data Engineer
Location - New Jersey Hybrid
Duration: Long Term
Must Have 15+ Years of Expirence Should be strong in Terraform
1. Cloud Services & Infrastructure
• Data Storage & Processing: S3, Redshift, Aurora Postgres, Glue, EMR, Lambda
• Orchestration & Workflow: Step Functions, CloudWatch
• Infrastructure as Code: Terraform, Terraform Enterprise & HCP
• CI/CD Pipelines: Concourse, Github actions
1. Data Engineering Foundations
• ETL/ELT Pipelines:
• Designing and optimizing pipelines using Glue, PySpark, and Kafka
• Prior experience in developing ETLs using SSIS and SQL server
• Data Modeling: Dimensional and NoSQL modeling, schema design
• Data Governance: Data quality, lineage, and stewardship practices
1. Programming & Tools
• Languages: Python, SQL, PySpark
• Tools: GitHub Actions, Concourse, Qlik Replicate
1. Performance & Cost Optimization
• Efficient use of EMR and PySpark to reduce compute costs
• Metadata-driven upserts using Apache Iceberg for historical data
Role: Sr. AWS Data Engineer
Location - New Jersey Hybrid
Duration: Long Term
Must Have 15+ Years of Expirence Should be strong in Terraform
1. Cloud Services & Infrastructure
• Data Storage & Processing: S3, Redshift, Aurora Postgres, Glue, EMR, Lambda
• Orchestration & Workflow: Step Functions, CloudWatch
• Infrastructure as Code: Terraform, Terraform Enterprise & HCP
• CI/CD Pipelines: Concourse, Github actions
1. Data Engineering Foundations
• ETL/ELT Pipelines:
• Designing and optimizing pipelines using Glue, PySpark, and Kafka
• Prior experience in developing ETLs using SSIS and SQL server
• Data Modeling: Dimensional and NoSQL modeling, schema design
• Data Governance: Data quality, lineage, and stewardship practices
1. Programming & Tools
• Languages: Python, SQL, PySpark
• Tools: GitHub Actions, Concourse, Qlik Replicate
1. Performance & Cost Optimization
• Efficient use of EMR and PySpark to reduce compute costs
• Metadata-driven upserts using Apache Iceberg for historical data
