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Build and maintain a scalable data platform using PySpark/Python and Azure, integrating CRM/ERP/SaaS data into a lakehouse architecture for reliable analytics and Power BI reporting.
Builds and maintains scalable data pipelines and a cloud-based lakehouse using Python, SQL, and Microsoft Fabric to integrate CRM/ERP data for analytics and reporting.
Designs and builds scalable data pipelines and APIs for healthcare applications using Python, FastAPI, PySpark, and AWS services.
Design and build enterprise-scale data pipelines and warehouses, transforming raw data into clean, standardized formats for analytics and reporting using Azure, SQL, Python, and Databricks.
Senior Data Engineer builds and maintains scalable data platforms using Python, PySpark, and SQL in hybrid role, ensuring secure, high-quality data solutions for enterprise clients.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
Design and build cloud-based data platforms and ETL pipelines for clients using Microsoft Fabric, Databricks, Snowflake, SQL and Python.
Build and maintain ETL pipelines, data models, and dashboards that power Robinhood’s analytics and regulatory reporting, using SQL, Python, Spark, and Airflow.
Build and maintain data pipelines using PySpark and AWS for a banking project, supporting Brazil-time operations from 13:00–21:00.
Design and implement Azure-based streaming-to-batch data pipelines using Data Factory, Data Lake Storage, and PySpark/Python.
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, creating ETL/ELT pipelines, optimizing cloud data platforms, and enforcing governance for AI/ML use cases.
Hopla! Software busca incorporar un/a Developer Python / PySpark / Databricks Junior para formar parte del equipo de Datos. Buscamos perfiles con ganas de aprender, proactivos y que quieran crecer profesionalmente en…
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics for data engineering projects in a fast-paced consultancy.
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to deliver clean, analytics-ready data for insights.
Builds and maintains ETL pipelines in Azure Synapse using Python (PySpark) to design data storage and ensure quality for cross-functional teams.
At PwC, our people in Cloud, Data and AI focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve…
Build and scale high-throughput data pipelines and streaming systems using Spark, Airflow, and AWS to power real-time music discovery for 100M+ fans.
Design and build a pricing engine using Microsoft Fabric, Power BI, and React.js to extract Dynamics 365 data and deliver margin analytics for sales teams.
Build and refine AI-powered leadership coaching systems using LLMs and NLP to deliver personalized, enterprise-grade guidance at scale for Fortune 500 clients.
Design and optimize cloud-based ETL pipelines using Databricks, Spark, and real-time streaming, while collaborating on CI/CD and workflow automation with Azure DevOps and Airflow.
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