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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 development of a global enterprise platform using Java, Spring Boot, and AWS, designing APIs, databases, and event-driven services for Universal Music Group’s internal teams.
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.
Lead a team engineering cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance systems.
Lead a hybrid team of data engineers, define the data strategy, and build scalable pipelines and platforms to support analytics and business-critical initiatives in a financial-services organisation.
Build and maintain Python-based APIs and data infrastructure that power energy-market analytics and an LLM-driven AI Analyst, using AWS, Terraform, and streaming systems.
Lead the architecture and evolution of FloQast’s data platform, building scalable lakehouse pipelines with Apache Spark, Iceberg, Kafka, and AWS services to power analytics and product systems for 30,000+ tenants.
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.
Build and maintain AWS-based data pipelines and AI-driven data products for a large bank, using Python, PySpark, and cloud-native tools to power analytics and customer experiences.
Lead the design and build of scalable data pipelines and ETL processes for a bank, using Spark, Flink, and AWS to deliver clean, real-time data for analytics and AI-driven insights.
Build and maintain a global KYC and risk-assessment data platform using Python/Java, Databricks, Spark, and cloud-native tools to deliver secure, scalable data pipelines at enterprise scale.
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…
Build and maintain distributed storage, indexing, and query systems for Amazon S3 Tables, leveraging Apache Iceberg to enable scalable, cost-effective tabular data management at cloud scale.
Build and maintain AWS’s internal data platform, designing ingestion pipelines, distributed compute workflows, and storage systems to process trillions of events monthly using Kinesis, EMR/Spark, and Redshift.
Build and maintain high-throughput C++ and Python systems to record, transfer, validate, and catalog petabyte-scale autonomous-truck sensor data for replay and ML.
Build and maintain the Kubernetes-based platform that runs petabyte-scale data processing, simulation, and ML training for an AI company.
Data Engineer (Snowflake & GCP) Team: Engineering Location: Ciudad de México, Colombia, Lima, México Commitment: Contract | Remote Workplace Type: remote Sobre Coderio Coderio diseña y entrega soluciones digitales…
Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion,…
Build and maintain MOIA’s serverless AWS-based data platform, enabling teams to process and analyze mobility data efficiently using Python, Kinesis, Lambda, and SageMaker.
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