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Build and maintain cloud or on-premise data pipelines and advise clients on modern data solutions using Python, SQL, Spark, and cloud platforms.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Build and maintain data pipelines, manage SingleStore databases, and support developers in a lakehouse environment.
Build and maintain the data platform’s ingestion, transformation and quality services using Kafka, Spark/Flink and DevOps practices to support high-volume gaming platforms.
Build and maintain the data platform that powers high-volume gaming services, using Java/Python, Kafka, Spark/Flink, and DevOps practices to ensure reliable ingestion, transformation, and data quality.
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Build and own the data platform that powers AI model compression and quantum-inspired optimization products, designing ETL pipelines, lakehouse architectures, and governance workflows in Python/SQL on cloud platforms.
Senior Data Engineer modernizes a large bank’s Big Data platforms, migrating batch jobs to Cloudera CDP and Google Cloud using Spark, SQL, and Kubernetes while ensuring performance and reliability.
Build and maintain a cloud-based pathogen genomics data platform using Python, Airflow, and Oracle/AWS/Azure to ingest, process, and secure genomic and clinical data for early epidemic warnings and diagnostics.
Build and maintain large-scale data pipelines and curated datasets for a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases at a global bank.
Lead the design and delivery of cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance operations.
Are you someone who challenges the status quo, acts autonomously, and has experience leading solution and data architecture in broadscale transformation programs? Are you ready to take the next leap in your career by…
Lead the architecture and engineering of a modern, cloud-native data platform for State Street’s investment management business, using Python, Spark, Snowflake/Databricks, and Apache Iceberg to build scalable analytics and governance capabilities.
About the team / Role As a Director, Data Platform Engineering, you will be the primary leader and visionary for the core data infrastructure that powers the entire enterprise. This is a "platform-as-a-product"…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
（日本語が下部に続きます） About AIRoA The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the…
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