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Designs and implements Identity Graph and Customer 360 solutions to unify customer data across systems, focusing on real-time identity resolution, data integration, and graph database technologies.
Job Description We are seeking a Senior Snowflake Data Engineer with strong hands-on experience in Snowflake and Databricks to join our data engineering team in Dallas, TX. The ideal candidate will be responsible for…
Design and maintain data pipelines and infrastructure to deliver oncology research insights for life science partners using cloud platforms, SQL, Python, and Snowflake.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines and data governance frameworks to support real-time mobility services. The role involves working with a modern stack including Python, SQL, Spark, Kafka, and cloud infrastructure to process high-concurrency data.
Builds and optimizes cloud-based data pipelines (ETL/ELT) using Microsoft Fabric/Azure Data Factory, focusing on API integrations, Lakehouse/Data Warehouse architecture, and stakeholder collaboration.
Builds and maintains data pipelines, models, and integrations for production/supply chain systems (ERP, MES, WMS) to enable BI, analytics, and AI applications, ensuring data reliability and scalability for decision-making.
Builds and maintains data pipelines to integrate operational data (ERP, MES, WMS) into actionable insights for supply chain and production analytics, collaborating with BI, data science, and IT teams.
This is an apprenticeship position for a Mathematical-Technical Software Developer (MATSE) at ELT Group, focusing on software development, user interface creation, and implementing technical procedures for electronic warfare training solutions.
The software developer will design, develop, and optimize data integration and transformation processes for KYC, compliance, and reporting applications within the Azure cloud. The role involves building stable data pipelines, managing REST-based APIs, and supporting the maintenance of SaaS-based KYC platforms.
The Senior Data Engineer will manage and develop the company's Databricks-based analytics platform, building data pipelines to support AI and machine learning initiatives. The role involves integrating data from various sources, ensuring data quality, and operationalizing pipelines using DevOps and MLOps principles.
Data Architect & Engineer responsible for designing and evolving scalable enterprise data architectures on SAP Business Data Cloud, BW/4HANA, Datasphere, Azure/Fabric, and Databricks, while managing ETL processes and data governance for a large European textile retailer.
Data Engineer building and optimizing data pipelines and ETL/ELT processes in Microsoft Azure (Data Factory, Databricks) to support AI/ML infrastructure, collaborating closely with Data Scientists at a private university.
Wir suchen Verstärkung. Werden Sie Teil unseres Teams in Wiesbaden. Data Engineer (m/w/d) Spannende Aufgaben erwarten Sie Sie entwickeln unsere AWS-basierte Datenplattform gemeinsam mit Ihrem Team kontinuierlich…
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.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms, manage cloud migrations, and support clients with data quality and integration solutions. The role involves working with technologies like ETL/ELT pipelines, cloud platforms (Azure/AWS), and various data modeling methodologies.
Software Engineer on Apple's Video Engineering team building data applications, pipelines, and database systems at scale. Core tech: Python, SQL/NoSQL, cloud platforms (AWS), Git, REST APIs.
A Backend Engineer at Genius builds and maintains data infrastructure, APIs, and pipelines to support the music platform's features, scaling to millions of users daily, using technologies like Ruby on Rails, PostgreSQL, and BigQuery.
Senior Data Engineer & Tech Lead at Hong Leong Bank designing and implementing ETL/ELT pipelines into data lakes using Informatica, SQL, and real-time data ingestion technologies, while leading cross-functional teams.
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.
The Senior Data Engineer designs and implements end-to-end ETL/ELT pipelines and data lake architectures within a financial services environment. The role involves leading complex data projects, optimizing database performance, and ensuring data quality using tools like Informatica, Kafka, and advanced SQL.
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