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Leads the Data Platform team at Toss, building and operating scalable data pipelines and distributed systems (Hadoop, Kafka, Spark, Flink) to power real-time analytics and services for Korea’s leading fintech app.
Build and operate Toss’s tax-data infrastructure, enabling large-scale tax refund analytics and powering the refund engine.
Data Engineer designing and maintaining scalable data pipelines with Scala, Java, and Apache Spark to modernize a backend data processing platform for an investment bank.
Design scalable solutions on Akamai's Cloud Platform, build data pipelines, and develop real-time cybersecurity data platforms using Java/Scala/Python, Kafka, Spark, Akka, and various data stores.
Data Engineer building and optimizing data pipeline architecture for retail order and delivery data, working with Apache Spark, HDFS/S3, Airflow, and Hive/Kyuubi in a hybrid role based in Kraków.
Data Engineer designing and maintaining scalable data pipelines using Scala, Apache Spark, and Java on a Big Data internal cloud platform, with 2–3 days weekly in the Warsaw office.
Senior Data Engineer designing, developing, and maintaining cloud data pipelines and platforms using AWS/GCP/Azure, Apache Airflow, Databricks, and SQL/Python/Scala.
Lead Data Engineer designing and maintaining cloud data processing platforms, building batch and streaming pipelines, and integrating data from various sources using SQL, Python/Scala, cloud platforms, and Apache Airflow.
Lead a portfolio of distributed microservices projects and mentor engineers, building cloud-based solutions on AWS using Java, Python, or Go with Docker and Kubernetes.
Lead backend engineer building distributed microservices using Python, Java, SQL, Node.js, Go, and Scala within AWS, with mentoring and cross-team collaboration responsibilities.
Design, build, and scale distributed backend systems for a Data Intelligence Platform across cloud providers, using Java/Scala/Go/C++ with a focus on high-scale, zero-waste compute and 100% resilience.
Lead a portfolio of microservices and drive cloud-based solutions for regulatory and customer needs using Java, Python, and AWS, while mentoring developers and contributing to open source frameworks.
Lead a team building distributed microservices for cloud operations resilience at Capital One, using Java, Python, SQL, Node, Go, Scala, Docker, Kubernetes, and AWS to power financial services infrastructure.
Overview About Nortal: We’re Nortal. We think big and create cutting-edge digital solutions with a global reach. And with 25 years of experience, 2,700+ professional experts, and half a billion people worldwide…
Aptive seeks a Health Informatics Program Manager to lead engineering projects for the VA, applying data science, AI/ML, and analytics to improve healthcare operations and patient outcomes. This remote role requires expertise in health informatics, data analysis, and various software and visualization tools.
ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ждем именно…
Lead Data Engineer owning the architecture, scalability, and technical direction of Amtech's Cloud Data Platform—designing data warehouses, ETL/ELT pipelines, tenant data stores, and feature stores that power analytics and AI agent initiatives using cloud platforms (AWS/Azure/GCP), big data frameworks (Spark, Kafka), and warehousing tools (Snowflake/Redshift/BigQuery).
Senior Full Stack .NET Software Engineer developing a new cross-platform (Windows/Linux, on-prem and cloud) software platform in C#, TypeScript, and React for nuclear medicine hospital systems and the radiopharmaceutical industry.
Design, build and maintain scalable backend services for a GRC SaaS platform focused on AI, privacy and security governance, using Node.js, TypeScript and Java in Rotterdam.
Data Engineer (Azure Databricks Developer) with 7+ years experience designing and maintaining scalable data pipelines using Azure Databricks, developing ETL/ELT processes, building Spark-based applications, and ensuring data security and governance.
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