Senior Data Engineer

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
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• 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.

• Develop data pipelines for ML recommenders search functionality and AI-enhanced features
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• 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.

• 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.

• 8 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
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• Experience in big data technologies and large-scale data storage
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• 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
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• 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
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• Familiarity with LLM-based AI applications and OpenAI or similar APIs
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So what does it mean to be a part of the Sana Commerce team

At Sana Commerce our values guide how we work, collaborate and drive success.

• Champions of Our League. We deliver lasting success balancing quick wins and long-term value. We take pride in our unique product and extensive B2B knowledge and continuously strive to improve. No matter our role we bring value every day helping our customers and partners succeed.
• Supercharge Our Customers. We're revolutionizing B2B commerce together helping our customers to lead and succeed. Our customers are at the heart of everything we do. We go beyond solutions providing the tools and support they need to grow.
• Determined to Grow. We embrace challenges, grow and raise the bar for ourselves and our industry. We take on challenges, seek feedback and keep learning. Every setback is a chance to improve and move forward.
• Bold Together. We dare to be bold because we have each other's back. We collaborate across teams and time zones, challenge the status quo and support each other to achieve the best outcomes.

Job descriptions can be tough to interpret. Even if you may not tick all the boxes, please explain your motivation for the role of Senior Data Engineer in a cover letter. We strongly encourage you to apply if you still feel like you are a great match for this role.
Apply now!

#LI-Hybrid

#LI-SV1

No

Full-time

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, No

SQL, Big Data, Data Warehouse, Kafka, Scala