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Remote Data Engineer: Azure Databricks Python AI Pipelines
Designs and builds scalable data pipelines using Azure Databricks and Python, integrating AI for automated classification and processing across cloud environments.
Data Engineering Manager — Azure & Databricks
Leads a team to design and build Azure-based data pipelines and Databricks analytics platforms that turn raw data into business insights for asset-management clients.
Databricks Data Engineer: End-to-End Pipelines
Builds end-to-end data pipelines and designs Databricks-based architectures using Python and PySpark.
Data Engineer — AWS/Databricks Lakehouse Pipelines
Design and maintain AWS/Databricks data pipelines using Python and SQL to support analytics and reporting.
Data Engineer: Databricks & AWS ETL Pipelines
Design and optimize scalable data pipelines using Databricks and AWS to transform raw data into business-ready datasets for retail and healthcare analytics.
Data Engineer: Databricks, Azure & AWS Pipelines
Design and maintain cloud data pipelines and platforms using Databricks, Python, SQL, and Azure to move and transform data for reporting and governance.
Azure Data Engineer Consultant: Scalable Pipelines
Designs and builds scalable Azure data pipelines using Synapse, Databricks, and Fabric to deliver reliable, cost-efficient analytics solutions for clients.
Databricks Data Engineer: Build Scalable ETL Pipelines
Design and maintain scalable ETL pipelines using Databricks, Python, and SQL to ensure reliable data solutions in a cloud environment.
Data Engineer - Databricks Unified Data Analytics
Designs and maintains Databricks-based data pipelines and ETL processes using PySpark and SQL to ensure clean, accessible data for analytics and reporting.
Data Engineer - Build Scalable Pipelines in Azure/Databricks
Designs and builds scalable data pipelines using Azure and Databricks, transforming raw data into reliable storage solutions with SQL and Python.
Senior Data Engineer: Azure Databricks & Lakehouse
Senior data engineer building scalable Azure Databricks pipelines and lakehouse solutions, owning data ingestion through analytics-ready datasets.
Machine Learning Engineer, Computer Vision – Azure
Build and maintain ML pipelines, train computer-vision models, and deploy them on Azure to solve business problems using Python, PyTorch, and SQL.
Senior Data Engineer - Consumer Data Platform
Build and maintain P&G’s consumer data platform, designing scalable APIs, ETL pipelines, and BigQuery warehouses to power analytics and BI dashboards.
Data Engineer - SME (Databricks) - Hybrid
Leads data engineering initiatives, migrates systems to Azure Databricks, and guides the team on Python, ETL, and data architecture best practices.
Senior Data Engineer - Azure Databricks & Spark
Build and maintain large-scale data pipelines using Azure Databricks, Spark, and PySpark, optimizing performance for TB-scale processing and collaborating with cross-functional teams.
Senior Data Engineer (Hybrid) | Cubao
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Hybrid Data Engineer – AWS/Databricks Lakehouse
Designs and maintains AWS/Databricks data pipelines, ensuring quality and scalability for batch and streaming workloads.
Senior Data Engineer - Scalable Pipelines & Cloud Analytics
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Azure Databricks Data Engineer: Scale ETL Pipelines
Builds and scales ETL pipelines on Azure Databricks using SQL and Python to move and transform data for business needs.