Lorven Technologies Inc.
Immediate Opening for AWS Data Engineer - Hanover, NJ (Hybrid)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Hanover, NJ (Hybrid) with a long-term contract. Requires a Bachelor's in Computer Science and 12+ years of experience in AWS services, ETL/ELT pipelines, and data architecture. Key skills include Python, Spark, and DevOps.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Whippany, NJ
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🧠 - Skills detailed
#Data Lineage #Data Privacy #Data Catalog #"ETL (Extract #Transform #Load)" #Python #VPC (Virtual Private Cloud) #Data Warehouse #IAM (Identity and Access Management) #AWS EMR (Amazon Elastic MapReduce) #Batch #BI (Business Intelligence) #Spark (Apache Spark) #Athena #Metadata #Compliance #Snowflake #DevOps #Security #Infrastructure as Code (IaC) #Scala #Database Schema #Data Processing #Redshift #Data Architecture #AWS (Amazon Web Services) #Computer Science #Data Engineering #AWS Glue #Data Lake #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #Leadership #Data Governance #Terraform #Jenkins #Automation #Kafka (Apache Kafka) #ML (Machine Learning) #DynamoDB #Cloud #GitHub #Data Quality
Role description
Our client is looking AWS Data Engineer project in Hanover, NJ (Hybrid) below is the detailed requirements.
Position: AWS Data Engineer
Location: Hanover, NJ (Hybrid)
Duration: Long term
Job Description:
• Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant experience
• You should have experience to Design and implement scalable data architectures using AWS services (S3, Redshift, Glue, Athena, EMR, DynamoDB).
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real‑time and batch ingestion pipelines using AWS Glue, Lambda, Kinesis, or Kafka.
• Data Processing & Transformation:
• Utilize Spark (AWS EMR/Glue), Python, or Scala to build transformation workflows.
• Implement data quality checks, validation rules, and automated error‑handling mechanisms.
• Ensure data is optimized for analytics, BI, and ML use cases.
• Data Warehouse & Lakehouse Management:
• Build and maintain data lakes on Amazon S3 and data warehouses on Redshift/Snowflake.
• Create and optimize database schemas, partitioning, compression, and performance tuning.
• Manage metadata, cataloging, and data lineage via AWS Glue Data Catalog or similar tools.
• DevOps & Automation:
• Implement CI/CD pipelines for data workflows using CodePipeline, CodeBuild, GitHub Actions, or Jenkins.
• Use Infrastructure‑as‑Code (IaC) tools like CloudFormation or Terraform to automate provisioning.
• Monitor pipelines and infrastructure using CloudWatch, CloudTrail, and AWS Config.
• Security, Compliance & Governance:
• Apply AWS security best practices including IAM roles, KMS encryption, VPC networking, and Secrets Manager.
• Maintain compliance with organizational data governance and regulatory standards.
• Ensure data privacy, retention policies, and audit requirements are met.
• Excellent communication, leadership, stakeholder management, problem-solving, and team-building skills with the ability to balance hands-on technical contributions and delivery leadership.
Our client is looking AWS Data Engineer project in Hanover, NJ (Hybrid) below is the detailed requirements.
Position: AWS Data Engineer
Location: Hanover, NJ (Hybrid)
Duration: Long term
Job Description:
• Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant experience
• You should have experience to Design and implement scalable data architectures using AWS services (S3, Redshift, Glue, Athena, EMR, DynamoDB).
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real‑time and batch ingestion pipelines using AWS Glue, Lambda, Kinesis, or Kafka.
• Data Processing & Transformation:
• Utilize Spark (AWS EMR/Glue), Python, or Scala to build transformation workflows.
• Implement data quality checks, validation rules, and automated error‑handling mechanisms.
• Ensure data is optimized for analytics, BI, and ML use cases.
• Data Warehouse & Lakehouse Management:
• Build and maintain data lakes on Amazon S3 and data warehouses on Redshift/Snowflake.
• Create and optimize database schemas, partitioning, compression, and performance tuning.
• Manage metadata, cataloging, and data lineage via AWS Glue Data Catalog or similar tools.
• DevOps & Automation:
• Implement CI/CD pipelines for data workflows using CodePipeline, CodeBuild, GitHub Actions, or Jenkins.
• Use Infrastructure‑as‑Code (IaC) tools like CloudFormation or Terraform to automate provisioning.
• Monitor pipelines and infrastructure using CloudWatch, CloudTrail, and AWS Config.
• Security, Compliance & Governance:
• Apply AWS security best practices including IAM roles, KMS encryption, VPC networking, and Secrets Manager.
• Maintain compliance with organizational data governance and regulatory standards.
• Ensure data privacy, retention policies, and audit requirements are met.
• Excellent communication, leadership, stakeholder management, problem-solving, and team-building skills with the ability to balance hands-on technical contributions and delivery leadership.
