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Build predictive models and analytics systems using Python, R, and SQL; lead a team of data scientists and collaborate with engineering/product teams.
Builds and maintains scalable data pipelines and big data infrastructure using Python, Spark, Databricks, and Azure tools to process and analyze large datasets.
Builds and optimizes data pipelines using PySpark, SQL, and the Hadoop ecosystem to process large datasets and support business analytics.
Senior backend engineer building scalable, real-time systems in Java/Scala that fuse edge hardware with ML to understand real-world behavior for parking, retail and hospitality.
Over Amplifon Amplifon is de wereldleider in de hoorzorg retail industrie. Sinds 1950 hebben we de levens van miljoenen klanten over de hele wereld veranderd. We zijn een wereldwijd bedrijf dat continu groeit. Amplifon…
The Lead Software Engineer will architect and build large-scale, cloud-native marketing platforms using Java, Spring Boot, AWS, and data processing technologies. The role involves leading engineering teams, driving cloud modernization, and integrating GenAI to enhance platform performance and development efficiency.
Architect and build large-scale data platforms that power streaming services and AI-driven personalization, enabling billions of events to become audience insights and intelligent products.
Design, develop, and maintain scalable data pipelines and workflows on Azure Databricks using PySpark, Azure Data Factory, and Apache Spark for advanced analytics and data engineering.
Senior Product Manager for Amazon's Global Transportation Technology Services, responsible for designing and managing the software platform that optimizes Amazon's global transportation network. Works with AWS services, big data processing, optimization algorithms, machine learning, and GenAI to ensure efficient package delivery and network resilience.
The Assistant Vice President will lead the design and operation of modern data platform capabilities, including lakehouse architecture and data pipelines, to support investment management. The role involves hands-on engineering with Spark, Python, and SQL while providing technical leadership to a team.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse datasets to power analytics, ML, and business applications at Hertz.
Senior Data Scientist designing and deploying ML models for real-time bidding, audience targeting, and campaign optimization on Amadeus's travel advertising platform, using Python, SQL, TensorFlow, and GCP.
Design and implement scalable data architectures and ETL pipelines using Java, Spark, and cloud tools to support risk and regulatory reporting in a large bank.
Data Architect at Mount Sinai Health System designing and implementing Big Data/ETL/Data Warehousing solutions using Azure, Databricks, SQL/NoSQL databases, Python, and big data stacks like Hadoop, Spark, and Kafka in a hybrid arrangement.
Builds and maintains scalable digital identity platforms for ING’s global fintech services, focusing on JVM-based microservices, Kafka, and cloud-native tooling like OpenShift.
Senior Data Engineer designing and building scalable Azure Databricks-based data pipelines, ETL processes, and lakehouse architectures using Python, SQL, Apache Spark, and Delta Lake at a law firm.
The Principal Software Engineer will architect end-to-end data solutions, lead cloud migrations, and design scalable data pipelines using big data and GenAI technologies. This role involves mentoring junior engineers and collaborating with stakeholders to implement data-intensive applications and infrastructure.
The Lead Software Engineer will architect and lead the development of scalable data engineering infrastructure, focusing on cloud migrations, data modeling, and real-time data pipelines. The role requires extensive experience with big data technologies, cloud platforms like AWS/Azure/GCP, and leading technical teams in a product-based environment.
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
The Data Engineer will design, develop, and maintain scalable data pipelines, warehouses, and cloud-based platforms to support business intelligence and analytics. The role involves working with technologies like Python, SQL, Spark, and cloud infrastructure to ensure data quality and reliability within an automotive electronics environment.
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