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Wells Fargo is hiring a Software Engineer to build and maintain scalable, mission-critical banking platforms using Java, Spring Boot, and modern cloud-native technologies. The role involves designing microservices, processing real-time data, and utilizing AI-assisted development tools within an Agile environment.
Lead enterprise-scale data modernization initiatives for Wells Fargo’s HR data platforms, designing cloud-native, AI-enabled architectures using PySpark, SQL, and Lakehouse principles to migrate legacy systems and enable advanced analytics.
Designs and builds data pipelines and Starburst platform integrations to clean, transform, and deliver financial data for analytics and decision-making.
Аналитик данных в Сбербанке исследует банковские сервисы для юридических лиц, используя SQL/Python/PySpark и Hadoop/Spark, чтобы выявлять закономерности и улучшать клиентский опыт. Разрабатывает скрипты для анализа данных и взаимодействует с бизнес-заказчиками для решения задач Ad-hoc.
The Senior Data Engineer will design and implement production-grade data pipelines for smart factory use cases, utilizing Python, SQL, Spark, and cloud platforms. The role involves bridging business requirements with technical architecture, optimizing data performance, and mentoring junior team members.
Data engineer for a 6-month banking data migration project, migrating legacy datamarts to new enterprise data marts using SQL (Hive/Impala), SAS, Python, and Hadoop ecosystem tools like Oozie.
The Data Engineer will design and maintain scalable data pipelines, warehouses, and lakes while developing backend APIs to support data-driven products. The role involves using cloud platforms, ETL frameworks, and web scraping technologies in an Agile environment.
Senior Data Engineer designing, building, and maintaining scalable data ingestion frameworks and data infrastructure on AWS using Python, PySpark, SQL, and big data technologies like Hadoop and Spark.
University, Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before.…
CRAON cerca un Data Engineer da inserire in un contesto enterprise, con focus su pipeline dati scalabili, ETL/ELT e integrazione di dati da sistemi eterogenei. Sarà parte di un team specializzato e supporterà soluzioni…
Cloud Data Engineer at a consulting firm designing and implementing Azure-based data platforms, integration pipelines (batch and real-time), and optimizing data flows for client projects.
Lead Databricks/Spark engineer responsible for configuring data lakes, optimizing pipelines, and training clients on cloud data solutions. Core focus: Spark, Databricks, and distributed data architectures.
Data Engineer building and maintaining secure, scalable data pipelines for insurance and banking clients, using ETL tools, relational/NoSQL databases, and DataOps practices.
Builds and maintains big data platforms using Python, R, Java/Scala in cloud/Hadoop environments; collaborates with teams to innovate and deliver technical solutions.
Designs and consults on big data solutions for global enterprises, leveraging Tencent Cloud’s AI-driven infrastructure to address challenges in real-time computing, data governance, and architecture. Focuses on E-commerce, Gaming, and Fintech industries while competing with AWS, Azure, and Google Cloud.
Data Engineer / Big Data Developer at Avanade France designing and developing streaming data pipelines (Spark Scala, Python, Java, Kafka) and optimizing Big Data platforms on Azure cloud for diverse client sectors.
Peregrine Advisors is a firm founded on a simple conviction: the best solutions come from the people closest to the problem, given real ownership and the tools to deliver. We are a data and technology innovation hub…
JOB INFORMATION Job Title of Opening: Computer Manager Position is for a Computer Manager (internal title: Technical Project Manager) responsible for overseeing the design, development, and integration of…
Data Engineer supporting DEA's case management modernization, designing and maintaining scalable ETL pipelines for data ingestion, migration, and integration using SQL, Python, and cloud data platforms.
Build and optimize large-scale data pipelines and datasets using SQL, Snowflake, Databricks, Spark, and Azure services to support ML/AI and business analytics for Paychex's HCM platform.
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