Negotiable
Undetermined
Hybrid
Remote or Hybrid in Wyoming, Michigan
Summary: AaraTech Inc is looking for a Data Engineer specializing in Retail & E-Commerce to enhance data pipelines and analytics platforms. The role involves data ingestion, transformation, and validation, with a focus on supporting reporting needs in collaboration with analytics teams. This position is ideal for early-career data professionals with 1-2 years of experience. The role offers flexibility in working arrangements, either remote or hybrid.
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
Key Skills:
- 1-2 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
Salary (Rate): £52,000 yearly
City: Wyoming
Country: United States
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Entry Level
Industry: IT
Data Engineer Retail & E-Commerce (1 2 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
- 1 2 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