Job Description
<h3>📋 Description</h3> • Develop and maintain Python-based systems deployed across remote platforms.
• Contribute to and improve data pipelines, ensuring reliable and efficient system updates.
• Build and enhance features for real-time data analysis and system monitoring to ensure high uptime and efficiency.
• Collaborate with data scientists and engineers to support advanced analytics and machine learning workflows.
• Support the migration of our codebase toward machine learning capabilities by building scalable, maintainable solutions.
• Analyze system logs and performance to debug issues and optimize operations using forensic analysis tools. <h3>🎯 Requirements</h3> • Bachelor's or Master’s degree in Computer Science, Mathematics, Data Analytics, or a related field.
• 3+ years of experience developing and deploying production-grade Python software.
• 3+ years of experience with Python and high-performance data libraries such as Polars and Pandas.
• Proficiency with JavaScript, SQL, and KQL.
• Experience with Extract, Transform, Load (ETL), Data Streaming, and Reconciliation.
• Experience building and maintaining deployment pipelines, including DevOps tools like Ansible, and containerization with Docker.
• Proficiency with cloud platforms (AWS or Azure) for deploying and scaling data systems.
• Highly desired experience with Azure, particularly Lakehouse and Eventhouse architectures.
• Experience with relevant infrastructure and tools including NATS, Power BI, Apache Spark/Databricks, and PySpark.
• Hands-on experience with data warehousing methodologies and optimization libraries (e.g., OR-Tools).
• Experience with log analysis, forensic debugging, and system performance tuning.
• Exposure to cloud-based systems.
• Familiarity with Agile/SCRUM methodologies in collaborative development workflows.
• Proficient English communication skills, both written and verbal, with the ability to engage diverse audiences effectively.
• Excellent analytical and problem-solving skills, with the ability to contribute effectively in a collaborative team environment.