Data Integration Engineer

February 26

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Codvo.ai

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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

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Collaborate and work in a global data science team to develop scalable and robust data integration infrastructure. • Engage directly with customers and partners to design and develop data requirements based on functional requirements. • Build custom data integration pipelines from existing source systems into cloud platforms such as AWS, Microsoft Azure etc. • Enable data ingestion, pre-processing, custom data wrangling from filesystems, databases, queues and streams to enable rapid prototyping. • Work with customers to develop custom data handlers and connectors as needed. • Perform a variety of data loads & data transformations. • Improve database and application performance with fine tuning. • Work with other project teams for data integrations and data lake requirements. • Automate processes for better stability and performance of application.

🎯 Requirements

• BS or MS degree in Computer Science, Engineering, IT. • Minimum 5+ years of professional experience in data engineering, databases and and/or business analytics. • Experience reading and parsing industrial P&ID and PFD documents. • Solid background and experience in SQL, Python and/or Java/Scala • Minimum 3 years’ experience in ETL and data pipeline design for heterogenous data such as time series, streams, queues and text. • Familiarity with containers and container services like Docker, Docker registry and Kubernetes. • Knowledge of test-driven development, agile software development methodologies and tools. • Excellent verbal and written communication skills to work in a global team and with customers on a regular basis.