Job Description
Job Description
We are seeking a hybrid Data Engineer / Data Scientist with strong machine learning expertise and hands-on experience building scalable data pipelines and models in Azure environments. This role is ideal for someone comfortable working across the full data lifecycle—from ingestion and engineering to advanced analytics and model deployment—especially within complex industrial or oil & gas datasets.Design, build, and maintain end-to-end data pipelines using Azure services (ADLS, Azure Databricks, Synapse, Azure SQL).
Develop and deploy machine learning models (e.g., time series forecasting, NLP) using Azure ML, Databricks, Spark, and MLflow.
Work with structured, semi-structured, and unstructured data (e.g., sensor data, logs, PDFs, documents), transforming it into actionable insights.
Explore and analyze large datasets, performing data wrangling, EDA, and feature engineering.
Build and optimize complex SQL queries and ensure efficient data processing acros...
We are seeking a hybrid Data Engineer / Data Scientist with strong machine learning expertise and hands-on experience building scalable data pipelines and models in Azure environments. This role is ideal for someone comfortable working across the full data lifecycle—from ingestion and engineering to advanced analytics and model deployment—especially within complex industrial or oil & gas datasets.Design, build, and maintain end-to-end data pipelines using Azure services (ADLS, Azure Databricks, Synapse, Azure SQL).
Develop and deploy machine learning models (e.g., time series forecasting, NLP) using Azure ML, Databricks, Spark, and MLflow.
Work with structured, semi-structured, and unstructured data (e.g., sensor data, logs, PDFs, documents), transforming it into actionable insights.
Explore and analyze large datasets, performing data wrangling, EDA, and feature engineering.
Build and optimize complex SQL queries and ensure efficient data processing acros...
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