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Python Developer - Contract

Post Sales (Technical and Support)/Temp/Contract

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

JOB ID: 2277

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