Codvo.ai
51 - 200 employees
Founded 2019
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • 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.
Senior Data Engineer, Databricks
🕒 April 24
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Codvo.ai
51 - 200 employees
Founded 2019
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • 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, develop, and maintain scalable data pipelines using Databricks and Python • Build and optimize ETL workflows for structured and unstructured data • Work with Databricks Lakehouse architecture and implement best practices • Manage and implement data governance using Unity Catalog • Integrate AWS data services such as S3, IAM, VPC, and other relevant services • Collaborate with cross-functional teams to deliver high-quality data solutions • Build dashboards and support data visualization requirements • Ensure data quality, reliability, and performance optimization
🎯 Requirements
• 4-8+ yrs experience • Strong experience with Databricks platform • Proficiency in Python for data engineering and ETL pipelines • Hands-on experience with Unity Catalog • Good knowledge of AWS services (S3, IAM, VPC, Glue/Lambda – preferred) • Solid understanding of Data Lake / Lakehouse architecture • Experience in building dashboards and reporting solutions
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