Codvo.ai
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.
Artificial Intelligence • Mobile Development • Product and Design • Web Development • Remote Support
Data Engineering Manager
February 12
Codvo.ai
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.
Artificial Intelligence • Mobile Development • Product and Design • Web Development • Remote Support
📋 Description
• Manage and lead a team of data engineers, providing technical guidance, mentorship, and support. • Oversee the successful delivery of data engineering projects, ensuring alignment with business requirements and timelines. • Contribute to the design, development, and maintenance of scalable and efficient data pipelines. • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
🎯 Requirements
• Bachelor's or master's degree in computer science, Engineering, or a related field. • 7 + years of experience in DE, with at least 3 + years in a managerial. • Strong understanding of data warehousing concepts, data modeling techniques, and ETL processes. • Experience with building and maintaining data pipelines using tools like Apache Spark, Apache Kafka, or similar technologies. • Proficiency in SQL, Python, Java, or Scala. • Experience with AWS, Azure, GCP.
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