Opportunity Description
Description
We’re hiring a Data Engineer to support AI and analytics initiatives by building scalable data pipelines and enabling machine learning workflows.
Key Responsibilities:
+ Design and maintain data pipelines and ETL processes
+ Work with large datasets to support AI/ML model training
+ Build and optimize data architectures (data lakes, warehouses)
+ Collaborate with data scientists on feature engineering and model deployment
+ Ensure data quality, governance, and performance optimization
+ Integrate cloud-based data services (Azure Data Factory, Databricks)
Requirements
Required Skills:
+ 5+ years of data engineering experience
+ Strong proficiency in Python and SQL
+ Experience with Azure data stack (ADF, Databricks, Synapse)
+ Knowledge of data modeling and ETL best practices
Nice to Have:
+ Experience with machine learning pipelines
We’re hiring a Data Engineer to support AI and analytics initiatives by building scalable data pipelines and enabling machine learning workflows.
Key Responsibilities:
+ Design and maintain data pipelines and ETL processes
+ Work with large datasets to support AI/ML model training
+ Build and optimize data architectures (data lakes, warehouses)
+ Collaborate with data scientists on feature engineering and model deployment
+ Ensure data quality, governance, and performance optimization
+ Integrate cloud-based data services (Azure Data Factory, Databricks)
Requirements
Required Skills:
+ 5+ years of data engineering experience
+ Strong proficiency in Python and SQL
+ Experience with Azure data stack (ADF, Databricks, Synapse)
+ Knowledge of data modeling and ETL best practices
Nice to Have:
+ Experience with machine learning pipelines
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