Senior Data Engineer

Conexiom

Conexiom is recognized for its proprietary AI technology that enhances B2B ordering efficiency by integrating solutions directly into ERP systems. Their automation platform ensures complete accuracy, supporting manufacturers and distributors in reallocating time from data entry to customer service. With a commitment to technological growth, Conexiom is poised to expand its data science capabilities, driving forward its cutting-edge automation offerings.

In this role you can expect to have the responsibilities:

• Lead data strategy initiatives with both short and long-term goals.
• Design and maintain scalable data pipelines, optimizing data flow across departments.
• Ensure high-quality data through rigorous validation and accuracy checks.
• Support data scientists and machine learning engineers by developing essential infrastructure and tools.
• Thrive in an Agile environment, collaborating with a strong and experienced team.

This role comes with the following benefits:

• Opportunity to impact global business operations
• Professional growth in a rapidly expanding company
• Fully remote work flexibility
• Inclusive and diverse company culture

This role requires you to have:

• Bachelor’s or Master’s degree in a quantitative discipline such as Physics, Engineering, or Computer Science
• 4+ years of experience in creating scalable data platforms
• Proficiency in SQL and Python for scripting and data integrations
• Experience with Databricks to build data pipelines for analytics

You would benefit from having:

• Experience with Spark Structured Streaming
• Familiarity with vector search tools like Pinecone
• Experience with Terraform
• Knowledge of cloud platforms such as Azure, AWS, or GCP

Conexiom is committed to building a diverse workforce that mirrors the communities and customers they serve, promoting an inclusive work environment that values diverse perspectives.