Data Engineer with Retail
Why This Role Stands Out
This role offers you the chance to architect and lead data solutions within the dynamic retail sector, leveraging your expertise in Azure cloud technologies to drive impactful projects. You'll thrive here if you have a strong background in data engineering leadership, a passion for building robust ETL/ELT pipelines, and a desire to shape the future of data architecture. Embrace this exciting opportunity to advance your career and make a significant contribution!
Quick Overview
Job Description
Senior Data Engineer Quincy, MA (Hybrid) | Long-Term
Location: Quincy, MA
Domain: Retail (Local candidates preferred)
Must-Have Skills
12+ years of Data Engineering experience min 1+ year as Lead or Architect
3+ years of hands-on experience with Azure Data Factory and Azure Synapse
Strong experience with Azure Databricks, PySpark, Azure Data Lake Storage
Expertise in ETL or ELT pipeline development
Strong SQL and data modeling (Star Schema, Data Vault, Lakehouse, Data Mesh)
Experience with Python and cloud-based data platforms
Knowledge of Azure Cosmos DB, Azure PostgreSQL, Azure MI, Azure Analysis Services
Experience integrating data from databases, APIs, and external sources
Metadata management and data governance experience
Strong leadership, architecture, and stakeholder communication skills
Nice to Have
Elasticsearch
Docker & Kubernetes
Bash or Unix shell scripting
Performance tuning and troubleshooting
Azure or Databricks certifications
Retail or eCommerce domain experience
Skills
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