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Builds and optimizes large-scale data pipelines and processing systems using Apache Spark, Hadoop, and cloud platforms to enable data-driven insights and analytics for the company’s operations.
A junior software engineer role focused on developing, testing, and maintaining web applications, APIs, and backend services under senior guidance, with exposure to modern development tools and cloud platforms.
Build and operate high-reliability data pipelines that ingest cardiac device data into a MedTech platform, using Python/TypeScript on AWS with Temporal and Kubernetes.
Grupo Seresco busca un/a Big Data & AI Engineer para unirse al equipo Data & AI. Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud. La persona reportará al…
Builds and maintains data pipelines, infrastructure, and decision-making systems for ad targeting; models user personas and optimizes ad delivery using Spark, AWS, and ML.
Designs, builds, and optimizes large-scale data pipelines using Spark, Databricks, and Hive to ensure high performance and scalability.
Manning Global is seeking a Data Engineer to build scalable web applications and manage data pipelines using Java, Spring Boot, Vue.js, and GCP-based technologies. The role involves designing data architectures, writing processing logic in Scala, and automating workflows with Talend.
Builds scalable GCP data pipelines and collaborates on web apps to deliver reliable data solutions for clients.
Develops and maintains a high-performance fintech platform controlling US and global client trade activity, using React for frontend, Scala/Java for backend, and Kubernetes/Terraform for cloud infrastructure.
ABOUT US Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and…
Principal Engineer defines the technical vision for Acceldata’s Open Data Platform, leading architecture and open-source contributions for scalable, distributed data systems powering enterprise analytics and AI.
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data models to support cloud cost visibility and performance insights. The role involves using SQL, Python, and cloud-native tools like AWS and Snowflake to build actionable data systems for cross-functional teams.
Designs and operates scalable, secure GCP data pipelines using BigQuery and Dataflow to transform raw data into business insights.
Designs and builds secure, scalable data pipelines on GCP to process real-time and batch data, turning raw data into actionable insights.
Designs and builds cloud-based big data pipelines and analytics applications using Spark, Kafka, and NoSQL databases.
Designs and builds AWS-based data pipelines, transforming and processing data for analytics and ML models while collaborating with stakeholders to define requirements and outcomes.
Designs and implements large-scale data solutions using Spark, Kafka, and cloud platforms to manage, analyze, and visualize data for business intelligence projects.
Builds and maintains Azure-based data pipelines and lake loading for analytics and ML, collaborating with analysts and architects to deliver cloud-native solutions.
Builds and optimizes Big Data pipelines using Spark/Kafka in cloud environments, collaborating with cross-functional teams to design, implement, and estimate complex data solutions.
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