Why This Role Stands Out
Leverage your Python, PySpark, and AWS expertise to build robust data solutions and drive impactful projects in this on-site AWS Data Engineer role. You'll thrive here if you're passionate about data pipeline development, optimization, and collaborative problem-solving within a dynamic technology environment. This opportunity offers significant growth potential and the chance to expand your skillset with cutting-edge cloud technologies.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Jersey City, NJ, United States
Posted
19 hours ago
SQLAWSETLGitPythonRedshift
Job Description
ROLE: AWS Data Engineer
Location- Jersey City NJ
Onsite Role
Key Responsibilities
- Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms
- Orchestrate workflows with AWS Step Functions and serverless components (Lambda)
- Implement messaging and event-driven patterns using AWS SNS and SQS
- Design and optimize data storage and querying in Amazon Redshift
- Write performant SQL for data transformations, validation, and reporting
- Ensure data quality, monitoring, error handling and operational support for pipelines
- Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions
- Contribute to CI/CD, infrastructure-as-code, and documentation for reproducible deployments
Required Skills
- Strong experience with Python and Pyspark for large-scale data processing
- Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions
- Solid SQLSQL skills and familiarity with data modeling and query optimization
- Experience with ETL best practices, data quality checks, and monitoring/alerting
- Familiarity with version control (Git) and basic DevOps/CI-CD workflows
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