Senior Data Engineer (MLAI)

Sana Commerce

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profile Job Location:

Alexandria - Egypt

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

What youll be doing

  • Designing and maintaining data pipelines optimized for ML/AI workloads including handling of large-scale unstructured and semi-structured data.
  • Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.
  • Collaborating with Data Scientists and ML Engineers to understand data requirements for training validation and production deployment.
  • Ensuring data quality lineage and governance meet standards required for AI/ML applications.
  • Supporting MLOps practices by integrating data pipelines with model training monitoring and deployment workflows.
  • Leveraging distributed processing frameworks (e.g. Spark Databricks Azure Synapse) for scalable ML data processing.

Qualifications :

What you bring

  • 8 years of experience as a Data Engineer working with Azure and Databricks ideally with exposure to ML/AI-related data workflows.
  • College degree that demonstrates your analytic abilities such as Econometrics Computer Sciences Mathematics or similar;
  • Excellent analytical and problem-solving skills;
  • Experience with data preparation for ML/AI: managing large datasets feature engineering and real-time or batch data pipelines.
  • Familiarity with MLOps concepts and how data engineering supports model lifecycle management.
  • Experience with orchestration frameworks (Airflow Prefect or Azure Data Factory) for complex ML pipelines.
  • Knowledge of unstructured data processing (text images logs) is a plus.
  • Strong SQL and Python skills; experience with distributed data processing (PySpark Dask etc.) is a plus.

Why youll love working here

  • Impact from day one Join a scale-up where your ideas shape how global businesses operate online.
  • Continuous learning Access a structured onboarding rated 9.1/10 by previous hires mentorship and feedback culture.
  • Hybrid flexibility Work from our office 3 days per week and from home 2 days.
  • Career growth Expand your technical and leadership scope in a company built for long-term success.

Our values

At Sana Commerce our values drive everything we do:

  • Champions of Our League  We deliver lasting success balancing quick wins and long-term value
  • Supercharge Our Customers  Were revolutionizing B2B commerce together helping our customers to lead and succeed.
  • Determined to Grow  We embrace challenges growing and raising the bar for ourselves and our industry.
  • Bold Together  We dare to be bold because we have each others back.

Ready to build reliability that scales

Apply now and help shape the foundation of our next-generation SaaS platform.


Additional Information :

#LI-Hybrid

 


Remote Work :

No


Employment Type :

Full-time

What youll be doingDesigning and maintaining data pipelines optimized for ML/AI workloads including handling of large-scale unstructured and semi-structured data.Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.Collaboratin...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

Company Logo

Sana Commerce is a ready-to-use commerce platform engineered for B2B. We've paired decades of B2B expertise with smart, integrative software to help our customers easily bring complex processes online, unburden their teams and drive value faster. The result? A supportive, personaliz ... View more

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