Python developer

Python Developer – Data Engineering & Migration (5 months Contract)CLIENT SUMMARY Our client is a global advanced analytics and AI consulting firm that helps Fortune 1000 enterprises make smarter, data-driven decisions. With operations in the U.S., India, and other international markets, they combine deep industry knowledge with state-of-the-art AI/ML capabilities to drive business transformation at scale. This is a contract role for 5–6 months , focused on delivering production-grade Python solutions for enterprise data migration projects. ROLE SUMMARY We are seeking an experienced Python Developer with strong expertise in data engineering , cloud migration , and production-grade software practices . This role will involve building robust, maintainable, and scalable data pipelines, with hands-on contributions to critical migration and transformation projects. RESPONSIBILITIES Design and implement Python-based data pipelines for large-scale relational database migrations to cloud-native data platforms Write clean, modular, and efficient production-grade Python code using best practices (Separation of Concerns, reusability, readability, testing)Perform unit testing, reconciliation , and data quality checks within the migration pipeline Optimize data workflows and SQL queries for performance and scalability Collaborate with cross-functional teams to understand requirements and translate them into scalable technical solutions Support CI/CD workflows and infrastructure automation for deployment and testing Document solutions clearly for handover, audit, and maintenance purposes REQUIREMENTS 5–10 years of overall software development or data engineering experience Proven track record of writing scalable, modular, and testable Python code in production environments Experience with data warehouse implementations , data migrations , and cloud-first architectures Solid understanding of ETL frameworks , data reconciliation , and unit testing Strong SQL skills including performance tuning, joins, and transformations Hands-on experience with PySpark and handling large datasets efficiently Familiarity with containerization, CI/CD pipelines , and automated testing workflows Excellent problem-solving skills and ability to communicate technical solutions clearly THE CIORE TOOLS AND TECHNOLOGIES Python Development (Production-Grade)Python 3.x Pandas , PyArrow , NumPy PySpark (for distributed data processing)SQLAlchemy (optional ORM usage)Pydantic or similar for data validation Testing & Quality pytest – Unit and integration testing flake8, black, isort – Code linting, formatting, style enforcement mypy – Static type checking coverage.py – Code coverage tracking Data Engineering / ETL Strong SQL (query optimization, data modeling)Cloud-native platforms: AWS (S3, RDS, Glue, Lambda)or Databricks , Snowflake ETL scripting and pipeline development using Python DevOps & Deployment Docker – Containerization of Python applications Terraform or AWS CloudFormation – Infrastructure as code CI/CD – GitHub Actions, GitLab CI, or similar Logging and monitoring tools (e.g., Loguru , Sentry , Prometheus )GOOD TO HAVE Experience with cloud data platforms like AWS Glue , Databricks , or Snowflake Familiarity with Master Data Management (MDM)practices Exposure to REST API integrations and working in a microservices environment Experience working in Agile teams with tools like Jira , Confluence , Git #J-18808-Ljbffr