Devsu

Backend Engineer

• Design, build, and support scalable data pipelines using Python, Apache Spark, PySpark, and Databricks
• Modernize and migrate legacy data processing workloads to secure, cloud-native platforms
• Build and maintain batch data ingestion pipelines from structured and unstructured sources
• Integrate data from REST APIs, SharePoint, document repositories, enterprise applications, and cloud platforms
• Implement data quality, monitoring, observability, and operational controls
• Optimize data workloads for performance, scalability, reliability, and cost efficiency
• Develop document extraction, classification, metadata enrichment, and automation pipelines
• Apply software engineering practices including Git, CI/CD, automated testing, and code reviews
• Build, deploy, troubleshoot, and maintain production ETL/ELT pipelines
• Collaborate with architects, developers, tax subject matter experts, and platform teams
• Analyze existing codebases and identify opportunities to improve maintainability, security, and reliability
• Use AI-assisted development tools to build, review, test, and maintain data pipeline code

Data Engineer, Python, PySpark, Databricks

• Design, develop, test, deploy, and troubleshoot production REST APIs and integration services
• Build and enhance MCP (Model Context Protocol) connectors and enterprise integration frameworks
• Develop middleware services connecting AI platforms with enterprise applications and data sources
• Create automation capabilities for business processes and AI-assisted workflows
• Collaborate with solution architects, product teams, and business stakeholders on scalable technical solutions
• Participate in code reviews, architecture discussions, and technical design sessions
• Ensure security, performance, reliability, scalability, and maintainability standards
• Contribute to reusable frameworks, libraries, and integration patterns
• Use AI-assisted development tools such as Codex and review, test, and validate generated code
• Diagnose and resolve production issues while considering technical root causes and business impact

Data Engineer, Python, PySpark, Databricks

Senior Python Developer