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Develop end-to-end data solutions and data processing components for large-scale data lake pipelines serving a global social media client, while collaborating with international cross-functional teams.
Cloud Data Engineer at Sii designing and developing Data Lake/Data Platform solutions, building ETL/ELT pipelines, and collaborating with BI and Data Science teams using SQL, Python, Spark, and Azure/AWS.
Build and maintain cloud data pipelines, warehouses, and analytics solutions using Azure/GCP/AWS, SQL, PySpark, and BI tools for enterprise clients.
Senior Data Engineer on a Regulatory Reporting team within an investment bank, building scalable data pipelines and data-driven applications using SQL, Databricks, Python, Spark, and Azure.
The Data Engineer will design, implement, and maintain scalable data pipelines and ETL processes within Azure and Databricks environments. The role involves collaborating with cross-functional teams to build big data solutions and ensure high-quality data standards.
Build and maintain scalable data pipelines for corporate lending using Python, PySpark, and SQL to transform data into analytics and insights.
Designs and implements data platforms—data lakes, warehouses, and ETL/ELT pipelines using Python and Spark—for industrial and manufacturing clients, handling the full cycle from requirements gathering through architecture to production deployment.
Builds and maintains data pipelines and warehouses on Azure, using Spark, SQL, and ETL tools to enable analytics and reporting.
Design, develop, and support full-stack business applications and management dashboards using the Microsoft stack (.NET/C#, Python, Azure, Dynamics 365, SQL Server, Power BI) for New York City's economic development agency.
ZentixSoft is looking for a Data Architect! 🚀 Format: Full-Time Outstaffing, long-term contract (12 months), 100% Remote. 💡 Why ZentixSoft? 💸 Salary Review: A structured system of compensation reviews aligned with…
Build and maintain cyber security software and big data platforms while supporting data engineering teams in a strategic engineering role.
Senior Business System Analyst (BSA) acting as a bridge between business stakeholders and technical teams, focusing on data and analytics with Databricks. Responsible for gathering requirements, defining specifications, and ensuring successful implementation of data solutions.
Designs and operates data pipelines, builds analytical data lakes, and defines reusable metrics in a semantic layer for business insights.
The Data Architect will design and govern enterprise-scale data platforms, focusing on Microsoft Azure, Microsoft Fabric, and data lakehouse architectures. This role involves managing data governance, security, and cloud modernization initiatives.
La Business Unit Finance, Procurement & Real Estate Au sein de Sia, la BU Finance, Procurement & Real Estate accompagne des organisations de tous secteurs dans la transformation et l'optimisation de leurs…
The Associate Director of Data Governance will establish and lead the enterprise data governance program for Kyowa Kirin North America, managing data catalogs, access models, and quality standards across commercial and medical data systems. This role acts as a bridge between technical data platform teams and business stakeholders to ensure data is trusted, compliant, and accessible.
Data Engineer building and maintaining Atea's modern data platform on Microsoft Fabric, focused on data pipelines, ETL/ELT, data modelling, and governance across the Nordics and Baltics.
The Senior Data Architect will lead the design and evolution of scalable, secure data architectures for CI&T's internal data platform. The role involves hands-on work with Databricks, Spark, and cloud infrastructure to support data-driven products and AI initiatives.
Hands-on Engineering Manager leading a 10-person Platform Engineering team in Hyderabad, owning infrastructure, DevOps, and system reliability for the SkylarOne hybrid cloud monitoring platform built on Linux, AWS, and CI/CD tooling.
The Senior Data Engineer will lead data engineering activities, designing and developing scalable data pipelines and Kimball-modeled repositories using the Azure stack. The role involves managing a team, ensuring data quality, and implementing DevOps practices to support business intelligence and AI initiatives.
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