
51 - 200 employees
Founded 2008
💼 Consulting
🤖 Artificial Intelligence
🏢 Enterprise
Consulting • Artificial Intelligence • Enterprise
Newton Vision Co. is a nearshore software delivery and consulting firm that uses AI-enhanced processes to accelerate enterprise software delivery, reduce cost, and ensure governance. They operate a nearshore Center of Excellence anchored in Bogotá combined with a U. S. -based strategic team, and deliver outcome-focused engagements using proprietary frameworks such as FutureX™ (an AI-Enhanced Process Development Cycle) and Baseline Insights™. AI is embedded across requirements, documentation, QA, release, and governance; services emphasize platform modernization, process improvement, controlled migrations, and establishing COEs to scale AI and delivery practices with human accountability and stage-gated approvals.
🔥 12 hours ago
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51 - 200 employees
Founded 2008
💼 Consulting
🤖 Artificial Intelligence
🏢 Enterprise
Consulting • Artificial Intelligence • Enterprise
Newton Vision Co. is a nearshore software delivery and consulting firm that uses AI-enhanced processes to accelerate enterprise software delivery, reduce cost, and ensure governance. They operate a nearshore Center of Excellence anchored in Bogotá combined with a U. S. -based strategic team, and deliver outcome-focused engagements using proprietary frameworks such as FutureX™ (an AI-Enhanced Process Development Cycle) and Baseline Insights™. AI is embedded across requirements, documentation, QA, release, and governance; services emphasize platform modernization, process improvement, controlled migrations, and establishing COEs to scale AI and delivery practices with human accountability and stage-gated approvals.
• Build and maintain data ingestion and ETL/ELT pipelines • Design, model, and document data in a cloud data warehouse • Implement data quality checks, monitor pipelines, and troubleshoot failures • Partner with product and AI teams to make trusted data available for new use cases • Optimize queries, pipeline performance, and cloud costs
• Professional experience building and maintaining data pipelines • Strong Python and SQL skills • Experience with at least one cloud data warehouse, such as BigQuery, Snowflake, or Redshift • Experience with dbt or a comparable transformation tool, as well as pipeline orchestration • Familiarity with testing, Git, and deployment practices • Experience with Airflow, streaming data, or change data capture (CDC) (nice to have) • Experience with GCP, AWS, or Azure (nice to have) • Experience preparing data for retrieval-augmented generation (RAG) applications (nice to have)
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