Top Tech Jobs & Startup Jobs

The role involves designing and implementing Generative AI solutions, ensuring system reliability and quality, and leading technical teams.

Lead solution architecture for complex digital transformations: design scalable cloud-native solutions (Java/.Net/Python), guide delivery teams, support presales and client relationships, run high-level workshops, manage risks, mentor consultants, and contribute to internal technical communities and recruitment.

Design, build, and optimize scalable ETL/ELT pipelines (batch and streaming); integrate diverse data sources; implement lakehouse architectures (Delta, Iceberg); ensure data governance, security, and performance; evaluate new technologies; collaborate with Data Science, BI, Product, and Architecture teams; and share knowledge across the data community.

Develop and compute financial indices using Dataiku; design and implement scalable data pipelines; write clean, tested Python code; perform peer reviews; translate business requirements into technical solutions; monitor and optimize production systems; produce technical documentation and collaborate with cross-functional teams to deliver new index families.

Administer and maintain VMware vSphere virtualization and HPE server infrastructure, manage Pure Storage and Brocade SAN, ensure availability, security, performance, capacity planning, automation, disaster recovery, and collaborate across teams while maintaining documentation and incident response.

Design and implement machine learning pipelines, working closely with data scientists to create scalable models and production-grade code.

Lead data projects lifecycle, translate business challenges into requirements, create proposals, and identify new data solutions for clients.

The Power Platform Consultant will develop and maintain software solutions for a client in the Automotive Industry, managing project lifecycles, stakeholder communication, and technical development.

Design, build, and operate secure, scalable Azure cloud solutions and automated CI/CD pipelines using Azure DevOps and GitHub Actions. Implement IaC (Terraform/Bicep), scripting (PowerShell), AKS and platform integrations; improve observability, cost efficiency, and mentor within Agile teams.

The Data Engineer will design and implement scalable data pipelines using Azure and Microsoft Fabric, optimize ETL/ELT processes, and ensure data quality.