Senior Data Engineer – Full Stack

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

AI • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

📋 Description

• Design and develop CLI tools, scripts, and internal utilities to automate repetitive tasks across the data platform, including: • Pipeline execution and orchestration • Data governance workflows • Metadata synchronization • Environment setup and configuration • Test harness development • Automate workflows on Databricks, including: • Job deployment and scheduling • Environment provisioning • MLOps processes using APIs, Terraform, or Databricks SDK • Build and implement robust testing frameworks: • Integration testing for pipelines • End-to-end validation of ETL/ELT workflows • Testing and validation for ML inference workflows • Improve overall productivity, scalability, and reliability of the data and ML engineering ecosystem • Develop lightweight internal tools and dashboards using frameworks such as React, Streamlit, or similar technologies to: • Visualize data pipelines and workflows • Demonstrate model inference capabilities • Provide configuration and operational controls • Enable internal productivity monitoring and dashboards • Collaborate with cross-functional teams to identify automation opportunities and implement best practices

🎯 Requirements

• 8+ years of experience in Data Engineering, Platform Engineering, or related roles • Strong experience in Python and scripting for automation and backend development • Hands-on experience with Databricks platform and ecosystem • Experience with APIs, Terraform, and/or Databricks SDK for automation • Solid understanding of ETL/ELT pipelines and data platform architecture • Experience building testing frameworks for data pipelines and ML workflows • Familiarity with CLI tool development and system automation • Knowledge of MLOps principles and practices • Experience with modern development practices, including: • Spec-driven development • Use of coding agents or automation-assisted development tools • Version control and CI/CD pipelines

🏖️ Benefits

• Flexible work arrangements