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DATA ENGINEER

AaraTechnologies IncJersey City, NJ🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

This hybrid Data Engineer role at AaraTech Inc offers fantastic growth potential as you'll build critical data pipelines and analytics platforms within the dynamic retail and e-commerce sector. You'll thrive here if you have 2-3 years of experience with SQL and Python, a passion for data quality, and enjoy collaborating with analytics teams to drive impactful insights. Apply now to advance your career in a supportive and innovative environment!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Jersey City, NJ, United States
Posted
21 hours ago
SQLAWSETLPythonRedshift

Job Description

Data Engineer Retail & E-Commerce (2-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career data professionals.

Key Responsibilities
  • Support ETL / ELT data pipelines
  • Write SQL queries and basic Python scripts
  • Assist with data ingestion and transformation
  • Perform data quality checks
  • Support data warehouse activities
  • Collaborate with BI teams
  • Maintain technical documentation
Required Qualifications
  • 2-3 years of experience in data engineering or analytics
  • Strong SQL skills
  • Basic Python knowledge
  • Understanding of ETL concepts
  • Exposure to cloud platforms
  • Strong analytical mindset
  • Good communication skills

Skills

SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation, Data Validation, Data Quality Checks, Retail & E-Commerce Data, Transactional Data Processing, Data Warehousing Concepts, Dimensional Modeling Basics, Cloud Data Platforms (AWS Basics), S3, Redshift Exposure, Batch Processing, Schema Design Basics, Documentation, Collaboration with BI Teams

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