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The Senior Data Engineer will design and develop scalable ETL/ELT pipelines and Lakehouse architectures using Databricks and Azure. The role involves optimizing data flows, implementing data governance, and collaborating with cross-functional teams to deliver data-driven solutions.
Build and optimize cloud ETL pipelines (AWS Glue/PySpark) and legacy integrations (IBM DataStage, SAS, SAP) to power machine learning and analytics at a data-driven company.
Designs and builds scalable data pipelines on AWS and Databricks for public sector and enterprise clients, focusing on PySpark-based transformations and real-time streaming.
The Data Engineer will design and maintain scalable data pipelines, data marts, and OLAP models using Python, SQL, and AWS services. The role focuses on orchestrating ETL processes and ensuring robust data governance and security.
Migrates and adapts existing data management capabilities in an Azure-based environment, focusing on replicating backend functionalities using Python, Django, and MongoDB while integrating REST APIs and processing data with pandas/NumPy.
The Senior Data Engineer will design and optimize scalable data platforms and pipelines using Microsoft Fabric, implementing Medallion architecture and building reliable data assets. The role requires expertise in SQL, Python/PySpark, and cloud data modeling to support analytics and business intelligence.
Data Engineer building and optimising a Microsoft Fabric-based data platform—designing pipelines, lakehouses, and ETL/ELT processes using SQL, Python, PySpark, and Azure data services.
The Senior Data Engineer will lead the development and optimization of a modern Azure data platform using tools like Databricks, Synapse, and PySpark. The role involves establishing engineering standards, mentoring team members, and building scalable data pipelines to support analytics and AI initiatives.
A Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines on Hadoop and cloud platforms (Databricks/Snowflake) using PySpark, SQL, and orchestration tools to process and enable data-driven products.
Python backend developer working onsite across multiple US cities, building on AWS with Snowflake, Glue, and Spark/PySpark.
In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are…
Design and build scalable AWS-based data pipelines and ETL processes using Python, PySpark, and SQL, migrating legacy systems to modern cloud architectures.
Наш продукт — единая точка входа для рекламодателей, которая обеспечивает гибкое управление рекламой на всех цифровых площадках сети X5. На сегодняшний день платформа имеет доступ к аудитории в 24 млн. человек,…
Job Type Full-time Description Take the next step in your professional career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services…
Develops and enhances route optimization algorithms to improve logistics efficiency, collaborating with product and backend engineering teams to scale solutions and analyze KPIs for delivery performance.
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
Senior Databricks Architect responsible for designing and implementing enterprise-scale cloud data platforms, data lakes, and AI/ML solutions using Databricks, PySpark, and Azure services for client engagements.
Lead the architecture and implementation of enterprise-scale AWS Databricks platforms, designing Lakehouse and data warehouse solutions, optimizing data pipelines, and driving AI/BI modernization with technologies like Databricks, AWS S3/Redshift/Lake Formation, Spark/PySpark, Delta Lake, and Unity Catalog.
The Data Analytics Architect designs and maintains enterprise analytics solutions using Microsoft Fabric, Power BI, and Azure to support sales, pricing, procurement, and inventory management at a packaging distributor.
Design and maintain enterprise analytics solutions using Microsoft Fabric, Power BI, and Azure for a packaging distributor, supporting sales, pricing, procurement, and inventory decisions.
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