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Senior Data Engineer - Alexandria

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

A minimum of 6 years of proven experience as a Data Engineer, particularly with Azure and Databricks. In-depth knowledge of data pipeline development, ETL workflows, and real-time/batch data processing. Familiarity with big data technologies and large-scale data storage solutions. Understanding of data governance, security, and compliance best practices. Expertise in Python and SQL for data transformation, quality assurance, and automation tasks. Strong background in optimizing data performance and cost in cloud environments. Preferred Qualifications:Experience with eCommerce data solutions, including customer segmentation and recommendation engines. Knowledge of event-driven architectures and streaming data processing.

About the job

Data Pipeline Development & Infrastructure

  • Architect, develop, and sustain robust and scalable data pipelines that support both structured and unstructured data.
  • Create and implement real-time and batch data processing frameworks.
  • Develop ETL/ELT workflows for data ingestion from diverse sources, ensuring optimal performance and reliability.
  • Enhance data storage and retrieval mechanisms for real-time and batch operations.
  • Design a cost-effective and efficient data infrastructure that adapts to the evolving needs of the business.

Data Solutions & AI-Driven Applications

  • Construct data pipelines to support machine learning recommenders, search functionalities, and AI-enhanced features.
  • Develop and maintain data models, APIs, and integrations that facilitate analytics and customer applications.
  • Support eCommerce data solutions such as product recommendations, customer segmentation, and personalization strategies.

Collaboration & Continuous Improvement

  • Collaborate with Data Architects, Analysts, and Product Teams to identify data requirements and deliver top-tier solutions.
  • Monitor and resolve performance issues to maintain high availability and efficiency of data pipelines.
  • Continuously enhance the cost, performance, and scalability of data engineering solutions.

About Sana Commerce

Founded in 2007, Sana Commerce has evolved from a simple concept into a dynamic SaaS company dedicated to empowering manufacturers, distributors, and wholesalers in the complex landscape of B2B commerce. Our mission is straightforward: to foster stronger business relationships through streamlined digital commerce solutions. At Sana Commerce, you will join a team characterized by boldness, a growth mindset, and a customer-centric approach, where each engineer has the opportunity to take ownership and make a significant impact. We are currently seeking a Senior Data Engineer to spearhead the design, construction, and optimization of our Azure and Databricks-based data infrastructure. In this critical role, you will develop scalable ETL pipelines and data ingestion frameworks, contributing to AI/ML-powered solutions that enhance both internal decision-making and customer insights.

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