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Design and implement big data solutions, program in Scala/Python/Java/SQL, work with Hadoop ecosystem and cloud infrastructure (AWS), and tune Spark for large-scale data processing.
Designs and operates scalable data pipelines (ingestion, streaming, batch) for real-time user behavior analytics, enabling targeting, recommendations, and performance tracking in a fintech platform. Core techs: Spark, Kafka, Flink, Airflow, and distributed storage (HBase, Cassandra).
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.
Software Engineer building and modernizing inbound clearing data pipelines, reporting tools, and reconciliation systems using Python and SQL at a quantitative trading firm.
AWS Data Engineer designing data strategies, building big data solutions on AWS/Spark/Hadoop, programming in Scala/Python/Java/SQL, and tuning Spark for billion-record processing.
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
Senior Data Engineer building scalable data platforms on Azure using Scala and Spark, handling data ingestion, transformation, and analytics enablement for a digital transformation consultancy.
An AWS Data Engineer designing and implementing big data solutions, tuning Spark for high-volume data processing, and troubleshooting performance issues.
Develops and maintains Java-based enterprise applications using Spring, Kafka, and big data tools like Hadoop, with a focus on scalable, distributed systems in Singapore.
This is a 10-week summer internship program for students to work on financial technology projects at TD Securities. Interns will develop and test software solutions using a variety of languages and frameworks, including Java, Python, C++, and big data technologies.
Architect and build high-concurrency, cloud-native advertising data services on AWS (EKS, MSK, S3) and design real-time/batch data pipelines with Flink, Spark, and HBase for Tencent's Corporate Development Group.
The Assistant Manager - Business Analyst acts as a liaison between business stakeholders and technical teams to define requirements and functional solutions for US healthcare payer projects. The role involves managing backlogs in Jira, creating documentation, and leveraging data analytics to optimize healthcare business processes.
Обязанности: SberData - департамент по управлению данными всего Сбербанка. SberData строит централизованное хранилище данных, объем которого уже превышает 100 ПБ. Это продуктово-ориентированная инженерная команда с…
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Big Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
Site Reliability Engineer I enhances system resilience and performance, implements automation tools, and contributes to the architectural design and disaster recovery strategies, promoting best practices for continuous…
Design, build, and operate large-scale batch and real-time data pipelines on Google Cloud Platform, working with BigQuery, Dataflow, and other GCP managed services to turn raw data into business insights.
Ensuring the completion of development tasks to support the new release of projects/solutions. Supporting production requests or fixing issues Unit testing applications and reporting daily progress 6+ years of relevant…
Develop physics-based, data-driven, and hybrid models for steel production processes at Danieli, a global steel plant builder. Day-to-day involves data management, statistical analysis, visualization, and Digital Twin initiatives using Python, SQL, and big data technologies.
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