Senior Data Management Engineer

Abercrombie & Fitch; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

A retail company is seeking a Senior Engineer, Data Management to work remotely. This role involves building and automating data pipelines, conducting complex data analysis, and leading team members in design patterns. The ideal candidate will have a Bachelor's degree in relevant fields and over 5 years of experience in Data Management or Data Engineering, with strong skills in Azure Data Factory, Databricks, and SQL databases.

Qualifications

• 5+ years of experience in Enterprise Data Management or Data Engineering.
• Hands-on experience with Azure Data Factory, Databricks/Spark, and SQL databases.
• Experience in a multi-developer environment using Azure DevOps or GitLab.

Responsibilities

• Build and automate data ingestion, transformation, and aggregation pipelines.
• Conduct complex data analysis to support business inquiries and reporting tools.
• Lead and guide team members in design patterns and coding standards.

Skills

Azure Data Factory

Databricks/Spark

SQL databases

ETL platforms

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

Azure DevOps

GitLab

Job description

A company is looking for a Senior Engineer, Data Management (Remote).

Key Responsibilities

• Build and automate data ingestion, transformation, and aggregation pipelines
• Conduct complex data analysis to support business inquiries and reporting tools
• Lead and guide team members in design patterns and coding standards

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• 5+ years of experience in Enterprise Data Management or Data Engineering
• Hands-on experience with Azure Data Factory, Databricks/Spark, and SQL databases
• Experience in a multi-developer environment using Azure DevOps or GitLab
• Functional knowledge of ETL platforms and reporting tools