... Experience in fraud detection, trust & safety, or abuse prevention systems. - Exposure to ML pipelines and real-time decision systems. - Familiarity with graph databases (Neo4j), rule engines (Drools/MVEL), and data privacy/PII compliance systems. Type of work model - Hybrid / Onsite / Remote working Our Hybrid work model: ...
... portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Our mission is to bring together analytical minds and innovative technology to help life sciences ...
Job Description :We are looking for a highly capable Backend developer to optimize our web-based application performance. You will be collaborating with our front-end developers, designing back-end components, and integrating data storage and protection https://jobeax.com/link/LiFWQ02vGMGVndQu and Responsibilities :- Extensive ...
... SaaS https://jobeax.com/link/s3At4J7E4K0oqURr candidate profile :- 7+ years of software engineering experience building and operating web applications.- Strong backend (Java or Golang) and platform engineering experience (APIs, microservices, distributed systems).- Experience building platforms, internal tools, SDKs, or infrastructure ...
... customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges ...
... Description The Context AI models are only useful when they can be turned into reliable products. That requires strong application engineering — frontend and backend systems, APIs, workflows, integrations, authentication, databases, observability, and production infrastructure that can work reliably with AI inference services. ...
... multi-agent backend : incremental capabilities, tool integrations, monitoring, and reliability.- Design and build multi-tenant access control : per-organization data isolation, credential architecture, JWT/OIDC auth flows (Auth0).- Run the backend's Azure footprint day to day : managed identities, Key Vault, CI/CD pipelines, ...
... customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges ...
Role Overview : We are looking for a Full Stack Senior Software Engineer with backend proficiency to join an Agent Development Squad building AI-powered financial close automation. You will primarily own the Python backend services, APIs, and data pipelines that power AI agents for financial close https://jobeax.com/link/ZLthU28PhggOey9e ...
About the job :We are looking for a skilled Python Backend Engineer (AWS integration) with strong expertise in backend application development, AWS service integrations, and scalable distributed https://jobeax.com/link/1Rn7zv9wYEsoo7Eu ideal candidate should have hands-on experience in designing and developing RESTful APIs, ...
... Implement business logic and backend services based on functional requirements.- Develop scalable RESTful APIs and microservices.- Work with relational and NoSQL databases, designing efficient data models and optimized SQL queries.- Write unit, integration, and automated tests.- Participate in peer code reviews, CI/CD pipelines, ...
... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...