
Azure Databricks Engineer machine learning
2 weeks ago
As a Senior Azure Data Engineer, your responsibilities will include:
Building scalable data pipelines using Databricks and PySpark
Transforming raw data into usable business insights
Integrating Azure services like Blob Storage, Data Lake, and Synapse Analytics
Deploying and maintaining machine learning models using MLlib or TensorFlow
Executing large-scale Spark jobs with performance tuning on Spark Pools
Leveraging Databricks Notebooks and managing workflows with MLflow
Qualifications:
Bachelors/Masters in Computer Science, Data Science, or equivalent
7+ years in Data Engineering, with 3+ years in Azure Databricks
Strong hands-on in:
PySpark, Spark SQL, RDDs, Pandas, NumPy, Delta Lake
Azure ecosystem: Data Lake, Blob Storage, Synapse Analytics
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