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4-month co-op ML Software Engineer at RBC Borealis, building ML-based software solutions end-to-end—from data ETL using Hadoop/Spark to implementing ML algorithms and front-end development—within a major bank's AI innovation lab.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Builds and refines fraud detection models (account takeover, card fraud, merchant loss) for Stripe’s global payments platform, collaborating with engineering and risk teams to deploy solutions and drive financial integrity.
The Trading & Execution Services group within Capital Markets is seeking a strong Java developer for the Program Trading team. We are building a world-wise data organization that leverages artificial intelligence…
Builds and optimizes scalable big data platforms, focusing on distributed systems, real-time/batch pipelines, and metadata-driven tooling to accelerate data insights for analysts and scientists.
Senior Data Engineer in Amsterdam focusing on designing and operating high-quality data pipelines on a Big Data Platform, collaborating with stakeholders, and championing data best practices. Core technologies include Python, PySpark, Airflow, Hadoop, Spark, Kafka, and SQL.
Build and maintain scalable ELT data pipelines using Python, PySpark, Airflow, Hadoop, and Spark for a Big Data Platform.
Leads AI data engineering and solutioning for Singapore’s Home Team, designing scalable data pipelines, ensuring governance, and optimizing AI model inputs while driving innovation in cloud/data technologies.
Data Engineer designing, building and maintaining scalable data pipelines, data warehouses and cloud-based data platforms on AWS using SQL, Oracle PL/SQL and Python to support analytics and business decision-making.
Backend engineering intern on Shopee's Data Infrastructure team, building and maintaining big data platform products (DataMap, Scheduler, Dashboard) using Java/Python/Go, MySQL, Redis, and Kafka.
The Senior Data Engineering Lead will design and implement scalable data architectures and lead engineering projects using SQL, Spark, and cloud platforms like Azure or AWS. This role focuses on driving enterprise analytics and AI solutions through technical leadership and team collaboration.
Python backend developer for an ad tech company's flagship Ad Suite product, building and maintaining scalable cloud applications using Python and AWS services (Lambda, S3, DynamoDB, etc.) in a microservices architecture.
Design, develop, and optimize enterprise-scale data solutions on Cloudera CDP and Hadoop, building ETL pipelines with Spark, PySpark, NiFi, Sqoop, SQL, Python, and shell scripting in a Linux environment.
Build and maintain large-scale data pipelines using Cloudera, Hadoop, Spark, and SQL to process and analyze enterprise datasets for smarter business decisions.
The Senior Data Engineer will design and maintain scalable data pipelines and infrastructure to support analytics, utilizing AWS, Hadoop, and EMR. The role involves managing batch and real-time data flows from on-premise systems to the cloud within an agile environment.
The Data Engineer will design and maintain scalable, secure data pipelines and analytical solutions using AWS and big data technologies. The role involves integrating diverse data sources, performing ETL, and collaborating with agile teams to deliver high-performing data infrastructure.
Contexte de la mission Dans le cadre du renforcement d'une équipe Data au sein d'un grand groupe, nous recherchons un Data Engineer expérimenté pour intervenir sur des projets stratégiques de collecte,…
Data Engineer in Sopra Steria's Financial Services division, building data ingestion pipelines (batch/streaming), structuring DataLakes, implementing CI/CD, and delivering data governance in Cloud environments using Spark, Python, and Big Data ecosystem tools.
This is an 8-month co-op software developer position at RBC, where students will work across various tracks including full stack, mobile development, API, web, Hadoop, and automation.
The Data Foundations Software Engineer will design and maintain data pipelines, models, and tools to support Stripe's internal data needs. The role involves working with technologies like Scala, Spark, Airflow, and SQL to build scalable data infrastructure and data-driven applications.
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