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The Data Engineer will design and build scalable data pipelines and cloud-based data solutions on AWS to support advanced analytics and business use cases. The role involves modeling data, integrating various sources, and collaborating with cross-functional teams to ensure data quality and performance.
The Senior Data Engineer will design, build, and optimize complex distributed data architectures and pipelines using AWS, Python, and SQL. The role involves automating infrastructure via IaC, ensuring data quality and security, and providing technical mentorship.
The Staff Data Engineer will design, build, and optimize robust data infrastructure and pipelines to support MACH's data operations. The role involves implementing data governance, enabling AI initiatives, and ensuring platform observability using AWS and modern data engineering practices.
Xe is seeking a senior full-stack engineer to lead the modernization of their cross-border payments platform using C#/.NET, modern frontend frameworks, and AWS. The role involves end-to-end feature ownership, technical leadership, and the daily integration of agentic AI coding tools into the development lifecycle.
This Senior Data Engineer role involves designing strategic data architectures and pipelines for a global insurance company using Snowflake, AWS, and Power BI. The position requires translating business needs into technical solutions and offers a path toward data architecture leadership.
Build and evolve an internal Data+ platform at Nubiral, designing reusable data capabilities, ETL pipelines, and self-service tooling on AWS while incorporating generative AI, LLMs, and RAG to automate data engineering tasks.
AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
The Cloud Platform Engineer will design, manage, and evolve AWS cloud infrastructure, focusing on CI/CD pipelines, containerization, and infrastructure as code. The role involves ensuring system security, performance, and observability while collaborating with product teams.
Senior Full-Stack Developer building on-prem and cloud-native financial services applications using React, Java, Kotlin, Spring, NodeJS, and AWS.
This senior full-stack engineer role involves building and maintaining cloud-native financial applications within an agile team. The position requires extensive experience with Java, React, and AWS services to deliver both front-end and back-end features.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using distributed systems, Apache Airflow, Kafka, Spark, and Databricks. The role involves designing scalable data pipelines and supporting data scientists in deploying ML models on cloud and on-premises infrastructure.
The Senior Data Engineer will design and maintain scalable cloud-native data pipelines and Data Lakehouse architectures to support evidence-based decision-making. The role involves leveraging modern data engineering tools like Python, SQL, Spark, and Kafka while implementing infrastructure as code and MLOps practices.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using open-source technologies like Apache Airflow, Kafka, and Spark. The role involves designing scalable data pipelines on Databricks and supporting data scientists in deploying machine learning models at scale.
Full Stack Engineer owning end-to-end development—frontend, backend, and cloud infrastructure—building responsive, secure, scalable web applications with Node.js, React, and AWS serverless components.
Full Stack Engineer responsible for end-to-end application development, integrating frontend, backend, and cloud infrastructure. Core technologies include React, Node.js, AWS cloud services, and PostgreSQL.
Mid/Senior Software Developer using .NET Core, React, and AWS to design, develop, and maintain scalable web applications, build responsive front-ends, and implement cloud-native solutions for financial services.
This role involves developing and maintaining Python-based microservices and serverless architectures within an AWS environment. The developer will focus on API integration, CI/CD pipelines, and production support, with a preference for candidates experienced in financial services and AI-assisted development tools.
Зарплата: до 252900 RUR (до вычета налогов) Привет! Мы – команда Leadlinks с более чем 7-летним опытом продуктовой разработки в сфере AdTech. Сейчас мы расширяем штат и ищем уверенного Geospatial Data Engineer…
The Data Engineer will modernize and scale cloud data platforms by building ETL/ELT pipelines using Databricks, Informatica (IDMC), and AWS. The role involves migrating legacy workflows to PySpark and SQL while managing data governance and infrastructure performance.
The Full Stack Developer will build and maintain on-prem and cloud-native financial applications using Java, Kotlin, Node, and React. The role involves working in an agile team to handle full-stack development, testing, and AWS infrastructure management.
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