Onsite AWS Data Engineer – PySpark & Data Pipelines (Newark)

Aroha Technologies, Inc; Newark (NJ); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Aroha Technologies, Inc. is seeking an AWS Data Engineer to design, develop, and operate AWS-based data pipelines for onboarding, transformation, and analytics-ready datasets. The role focuses on Python/PySpark development and hands-on work with AWS data services in Newark, NJ onsite three days per week.

You will implement robust data quality checks, optimize PySpark/SQL workloads, and collaborate with stakeholders to deliver reliable, scalable data solutions for analytics and AI readiness.

Formación

• Experience building AWS-based data pipelines.
• Proficiency with Python and PySpark.
• Familiarity with AWS data services (Glue, EMR, S3, Redshift, Athena).

Responsabilidades

• Design, develop and support AWS-based data pipelines for onboarding, transformation and consumption.
• Build and maintain ETL/ELT workflows across data domains.
• Develop clean Python/PySpark code and test.
• Participate in peer code reviews and document data flows.

Conocimientos

Python

PySpark

AWS

Data pipelines

ETL/ELT

SQL

Data quality

Troubleshooting

Code reviews

Herramientas

AWS Glue

AWS EMR

S3

Redshift

Athena

Iceberg

DynamoDB

Descripción del empleo

Aroha Technologies, Inc. is seeking an AWS Data Engineer to design, develop, and operate AWS-based data pipelines for onboarding, transformation, and analytics-ready datasets. The role focuses on Python/PySpark development and hands-on work with AWS data services in Newark, NJ onsite three days per week.

You will implement robust data quality checks, optimize PySpark/SQL workloads, and collaborate with stakeholders to deliver reliable, scalable data solutions for analytics and AI readiness.