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Job Description
Roles & Responsibilities
Data Pipeline Development & Infrastructure
- Design, build, and maintain scalable data pipelines
- Develop real-time and batch data processing frameworks for structured and unstructured data.
- Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance.
- Optimize data storage and retrieval of data in (near) real time and batch processes
- Ensure cost-efficient and high-performance data infrastructure that scales with business needs.
Data Solutions & AI-Driven Applications
- develop data pipelines for ML recommenders, search functionality, and AI-enhanced features.
- Develop and maintain data models, APIs, and integrations to support analytics and customer applications.
- Support eCommerce-related data solutions, including product recommendations, customer segmentation, and personalization models.
Collaboration & Continuous Improvement
- Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions.
- Monitor and troubleshoot performance issues, ensuring high availability and efficiency of data pipelines.
- Continuously optimize cost, performance, and scalability of data engineering solutions.
Desired Candidate Profile
We are looking for a Senior Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure. You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, and /contribute to /AI/ML-powered solutions that drive internal decision-making and customer-facing insights.
This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL. You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences.
Qualifications
- 6+ years of experience as a Data Engineer, working with Azure and Databricks
- Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing.
- Experience in big data technologies, and large-scale data storage.
- Familiarity with data governance, security, and compliance best practices and tools
- Proficiency in Python, /and /SQL, for data transformation, data quality and automation.
- Strong experience in optimizing data performance and cost-efficiency in cloud environments.
Nice to Have
- Experience with eCommerce data solutions, such as customer segmentation, recommendation engines, and personalization models.
- Knowledge of event-driven architectures, streaming data processing, and real-time analytics.
- Familiarity with LLM-based AI applications and OpenAI /or similar /APIs.
Company Industry
- Internet
- E-commerce
- Dotcom
Department / Functional Area
- IT Software
Keywords
- Senior Data Engineer
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Easygenerator
What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. Our mission is simple: help businesses build stronger relationships through seamless digital commerce. At Sana Commerce, you ll join a team that s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
https://jobs.smartrecruiters.com/SanaCommerce/744000117257243