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Real-time decision making with machine learning for risk assessments Ownership of risk infrastructure for Instant ACH in the US market Cross-functional collaboration with software engineers, data analysts, and data…
Build and scale Vi’s data foundation by designing robust pipelines, reusable models, and quality controls that power AI-driven health outcomes for patients and care teams.
Builds and maintains DevOps/DataOps pipelines to automate data workflows, ensuring scalability and reliability for data platforms like Redshift/Snowflake; works with AWS, Docker/Kubernetes, and Python to optimize ETL/data engineering processes.
Principal engineer designing and scaling distributed database systems for an ad-tech platform that measures TV and digital video ad spend, using Rust, Arrow, Parquet, and Iceberg.
Designs and builds scalable data pipelines and platforms for mobile programmatic advertising, processing billions of events daily using big data tech, cloud platforms, and GenAI.
Build and maintain scalable data pipelines and warehouses for Zego’s AI-driven insurance platform, using Python, SQL, Snowflake, Airflow, and dbt.
Build and maintain ETL/ELT pipelines, model data in Redshift/Athena, and create Tableau dashboards to power business decisions for a mobile app company.
Build and scale a feature platform that powers real-time ML ad recommendations, handling batch and streaming pipelines with Python, Flink, and Spark to serve low-latency features for model inference.
Builds scalable data pipelines using Databricks, Spark, Airflow and Iceberg to power modern lakehouse platforms for Atos’ digital-transformation projects.
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Designs and implements enterprise-scale data architecture for a large transport business, ensuring scalable, secure BI and analytics across multiple countries using AWS, Databricks, and Snowflake.
Senior backend engineer building and optimizing a distributed SQL query engine in Java/C++ for a large-scale data lakehouse platform used by Fortune 500 companies across finance, energy, manufacturing, and logistics.
Обязанности: •Сопровождение и эксплуатация Data Lake платформ •Поддержка S3/Object Storage инфраструктуры •Мониторинг, диагностика и устранение инцидентов Troubleshooting производительности платформы и storage систем…
DevOps engineer maintains a Data Lake platform using MinIO/S3 storage, Kubernetes, and big-data tools (Spark, Airflow, Kafka) while automating ops and troubleshooting performance issues.
Lead a team of Data Engineers to modernize TheFork’s data platform using AWS, Snowflake, and Airflow, implementing Lakehouse and Data Mesh principles to power analytics and business insights.
Build and maintain scalable data pipelines and analytical datasets for financial reference data using Snowflake, Databricks, Spark, and Iceberg in AWS/GCP/Azure.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Lead a team to build and scale a secure, observable data platform using Dagster, dbt, Snowflake, and GCP/Azure, enabling trusted analytics and AI-driven crime-reduction tools for global retailers.
Principal Data Engineer designs and evolves a scalable AWS-based data platform using Terraform, Apache Iceberg, dbt, and Glue/Athena to support AI products, analytics, and governance across global teams.
Join us and bring your innovative spirit to a team where your expertise shapes the future of data engineering. As a Principal Data Engineer, you will inspire change and deliver solutions that make a lasting impact. We…
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