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DATA ENGINEER

AaraTechnologies IncWashington, DC🇺🇸United StatesPosted Sep 27, 2026

Why This Role Stands Out

You'll thrive as a Data Engineer at AaraTechnologies Inc, leveraging your SQL and Python skills to build impactful healthcare data pipelines within a supportive, hybrid environment offering excellent growth opportunities. This role is perfect for someone eager to expand their cloud platform expertise and contribute to critical healthcare analytics. Apply now to join a forward-thinking team and advance your career!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Washington, DC, United States
Posted
2 days 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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