Codvo.ai
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.
Fullstack Data Engineer
November 10
Angular
AWS
Azure
Cloud
ETL
Flask
Google Cloud Platform
Informatica
Java
Microservices
PySpark
Python
React
Scala
Spark
SQL
Unity
Codvo.ai
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 ETL/ELT pipelines on platforms like Databricks (PySpark, Delta Lake, SQL), Informatica, Teradata, Snowflake • Architect data models (batch and streaming) for analytics, ML, and reporting • Optimize performance of large-scale distributed data processing jobs • Implement CI/CD pipelines for Databricks workflows using GitHub Actions, Azure DevOps, or similar • Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect) • Collaborate with data scientists, analysts, and business stakeholders to deliver solutions • Ensure data quality, lineage, governance, and security compliance • Deploy solutions across cloud environments (Azure, AWS, or GCP)
🎯 Requirements
• 4–7 years of experience in data engineering, with deep expertise in Databricks • Bachelor's or Master’s in Computer Science, Data Engineering, or related field • Strong in PySpark, Delta Lake, Databricks SQL • Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables • Python (mandatory), SQL (expert) • Exposure to Java/Scala (for Spark jobs) • Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus • Proficiency with at least one: Azure Databricks, AWS Databricks, or GCP Databricks
🏖️ Benefits
• Flexible work arrangements • Professional development
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