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Senior engineer maintains and troubleshoots a Kubernetes-based cloud Big Data platform, diagnosing container failures and performance issues while ensuring uptime for internal users.
Build and run a cloud-native Big Data platform on IONOS’s own cloud, owning Kubernetes, Terraform, and ArgoCD deployments while supporting internal data teams with L2/L3 ops and performance tuning.
Senior backend engineer building and optimizing large-scale data pipelines with Apache Spark and Scala/Python to power financial IT systems and cross-country operations.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our…
Build and maintain end-to-end data pipelines and analytical models using Databricks, Microsoft Fabric, Python, SQL and Spark to deliver AI-driven insights for enterprise clients.
Intern builds data models and cloud pipelines using SQL, Python, Spark, and Azure to support predictive analytics and new IT systems.
Build and maintain distributed big-data pipelines using Spark, Scala, Python, and AWS to process large datasets in near real-time for analytics and visualization.
Builds and maintains distributed Spark/Scala pipelines on AWS to process large datasets in near real-time, enabling analytics and visualization for clients.
Designs and builds cloud-based data pipelines and platforms, enabling scalable data processing and ML model deployment across AWS/Azure/GCP.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Build and refine data models using SQL, Python, Spark, and Azure while learning cloud technologies and predictive modeling in a hands-on internship.
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Build and maintain big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
Builds and maintains large-scale data pipelines using Hive, Spark, and Kafka for end-to-end data solutions in a global team.
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Design and build scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot, while maintaining big data infrastructure on Cloudera and GCP.
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