Python Developer – DevOps, Data Handling
2 weeks ago
We are looking for a highly skilled Python Developer with 3–8 years of experience who is proficient not only in Python development but also in DevOps practices, cloud-native tooling (especially AWS), and database interactions (specifically PostgreSQL). You’ll be involved in building scalable backend systems, automating CI/CD pipelines, handling data operations using Pandas, and ensuring system reliability through testing and performance optimization.Key Responsibilities:1. Python Development & Data EngineeringDesign and develop backend services, scripts, and utilities using PythonWork with data manipulation libraries like Pandas for data cleansing, transformation, and aggregationDevelop tools for comparing and transforming large CSV files, even in schema-less or unstructured formatsImplement clean, maintainable code with a focus on reusability and modularity2. DevOps & Cloud (AWS, Docker, CI/CD)Work with AWS DevOps tools: CodePipeline, CodeBuild, CodeDeploy, CodeCommit, Lambda, ECR, ECS/EKSContainerize applications using Docker and manage data persistence through volumes and bind mountsDefine CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI, with configurations written in YAMLImplement infrastructure automation and deployment workflows aligned with best practices3. Database Interaction (PostgreSQL)Connect to PostgreSQL using libraries such as psycopg2 and SQLAlchemyDesign and optimize SQL queries for performance and reliabilityUse ORMs (e.g., SQLAlchemy, Django ORM) for efficient data modeling and query abstractionImplement connection pooling strategies for high-concurrency environments4. Testing & DebuggingDevelop and maintain unit, integration, and E2E test suites using pytest or unittestFollow test-driven development (TDD) practices where appropriateDebug application issues using logging, profiling tools, and systematic root cause analysisRequired Skills & Experience:3–8 years of hands-on experience in Python developmentStrong knowledge of Pandas for data processing and transformationExperience with Docker, including volumes, Dockerfile authoring, and Docker ComposeGood understanding of CI/CD practices and YAML configurationsProficiency in working with AWS services (CodePipeline, EKS/ECS, Lambda, etc.)Strong SQL skills and experience with PostgreSQL, including performance tuning and query optimizationExperience using SQLAlchemy, Django ORM, or other ORMsUnderstanding of connection pooling and its importance in production systemsProficient in writing unit/integration tests with pytest, unittest, or similar frameworksNice to Have:Experience with Kubernetes, Helm, or TerraformFamiliarity with data validation tools like PydanticExposure to logging/monitoring stacks like ELK or PrometheusExperience working in Agile/Scrum teams with CI/CD in placeWhat We Offer:Competitive compensation and performance-based bonusesA dynamic work environment with exposure to modern DevOps and cloud practicesLearning and upskilling opportunities in emerging Python and DevOps tools
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