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Builds analytics-ready datasets using Data Vault 2.0 and dimensional modeling to power BI and self-service analytics for enterprise reporting.
Senior Data Engineer builds and optimizes Azure-based data pipelines and warehouses for a bank using Microsoft Fabric, Databricks, and Azure Data Factory.
Design and build scalable analytics infrastructure for a financial-services client using Data Vault 2.0 and dimensional modeling, writing advanced SQL pipelines and collaborating with cross-functional teams.
Senior Full Stack Developer builds and scales a global IoT SaaS cloud platform using C#/.NET, Azure, and modern architectures like microservices and event-driven systems.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Designs and builds AWS-based data pipelines, warehouses, and lakes for analytics and AI use cases, working with SQL, NoSQL, ETL tools, and cloud services.
Designs, builds, and optimizes Azure-based data pipelines and lakehouse architectures using ADF, Databricks, Synapse, and PySpark to deliver clean, reliable datasets for analytics and AI workloads.
Build and maintain data pipelines and infrastructure for marketing analytics and product insights using GCP, Snowflake, Matillion, and Amplitude to power AI-driven client reporting.
Designs and builds scalable data models and ETL pipelines to turn raw financial data into trusted, analytics-ready datasets for BI and reporting.
Build trusted data products that power enterprise decision-making for a South African financial institution, transforming raw data into analytics-ready datasets using SQL, ETL/ELT, and cloud platforms like Azure and Databricks.
Build and run Kubernetes-based services using ArgoCD and Bitbucket Pipelines, manage secrets with Vault, and maintain observability with Grafana/Prometheus while supporting zero-downtime deployments.
Design and operate cloud-native infrastructure on Kubernetes, using ArgoCD and CI/CD pipelines, while ensuring observability, security, and zero-downtime deployments.
Builds and maintains CI/CD pipelines and cloud infrastructure on Azure, automating deployments and ensuring operational stability for critical applications.
Build and run multi-cloud infrastructure for AI platforms using Terraform, Kubernetes, and CI/CD pipelines to ensure scalable, secure, and cost-efficient services.
Design and lead production ML and generative AI platforms on Microsoft Azure and Fabric, defining MLOps, LLMOps, and enterprise-scale AI architectures for client organizations.
Own and automate cloud infrastructure, CI/CD, and Kubernetes clusters for global clients using AWS/Azure/GCP, Terraform, and GitOps.
Designs and builds Azure-based data pipelines using Synapse, Data Factory, Databricks, and related services to ingest, transform, and deliver data.
JOB PURPOSE As a member of Robins Kaplan’s Talent team, the Attorney Recruiting Specialist collaborates closely with the Director of Administration and the Director of Talent to execute the firm’s attorney recruiting…
Write and structure CMC process development reports for gene-editing lipid nanoparticles, turning raw lab data into regulatory-ready documentation while collaborating with cross-functional teams.
Job Summary: We are seeking a Cloud & IAM DevOps Engineer with strong expertise in AWS cloud deployments, CI/CD automation, and Identity & Access Management (IAM). The ideal candidate will have hands-on experience with…
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