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This is a remote position. Role focus Build and maintain automation for Prduct related testing. Work closely with the local team and coordinate execution with offshore engineers. Required skills MUST Have Strong C#…
Enterprise Data Architect (contract-to-hire) designing and modernizing enterprise-scale data platforms on Azure — Databricks, ADLS Gen2, Synapse, Microsoft Fabric, Data Factory, Spark — with lakehouse, governance, and AI/ML-ready architecture work including GenAI and vector databases. Onsite in Los Angeles, CA or Houston, TX.
A remote Power BI Developer who designs, builds, and maintains complex interactive dashboards and reports using DAX, Power Query, and semantic-layer data modelling, leveraging the Microsoft Fabric ecosystem for integration and warehousing. Tableau-to-Power BI migration experience is a strong plus.
This is a remote position. Our client is a global advisory business in the energy industry, operating across North America and Europe. They are looking for a single technology leader accountable for everything…
Remote senior full-stack engineer who builds and maintains cloud-based applications: React/Next.js frontends, Nest.js/Node.js backend services, on AWS Lambda, Aurora PostgreSQL, and Kafka/Amazon MSK. Must be US-based and available during US business hours.
A 7+ year engineer in Chennai (work from office) joins a three-person team building AI-powered workflow automation, data pipelines, and alerting. You anchor in one track — LLM/AI engineering (Claude, OpenAI, Gemini), data engineering (Databricks, Spark, Snowflake, Airflow, dbt), or platform (GCP/AWS/Azure, CI/CD) — and grow across the others.
Full-stack engineer at Numentica building scalable web applications with a strong front-end focus: reusable React components in JavaScript/TypeScript, plus backend APIs and services in Java or Scala, databases, AWS, and CI/CD. Onsite in Saidapet (Chennai), working closely with US-based engineering, product, and data teams.
The Data Engineer at Numentica is responsible for building and maintaining data infrastructure, designing ETL pipelines, and automating workflows to support cloud-based data solutions.
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