Senior Python Developer

Senior Python Developer Role Overview We seek a seasoned Senior Python Developer with expertise in Pandas, SQL databases, and Azure to design, develop, and optimize data-intensive applications. You'll architect robust ETL pipelines, enhance data models, and ensure seamless cloud integration to support our data-driven initiatives. Key Responsibilities - Design, develop, and maintain Python-based applications and microservices. - Build and optimize ETL pipelines using Pandas, NumPy, and SQLAlchemy for data processing, transformation, and analysis. - Manage SQL databases (e.g., PostgreSQL, MySQL, SQL Server), including schema design, query optimization, and performance tuning. - Deploy and manage cloud-native solutions on Microsoft Azure (e.g., Azure Functions, Azure SQL, Azure Data Factory, Blob Storage). - Implement data validation, testing, and monitoring frameworks to ensure data integrity and system reliability. - Collaborate with data scientists, analysts, and engineers to translate business requirements into scalable technical solutions. - Mentor junior developers and advocate for best practices in coding, security, and CICD. Required Skills / Qualifications - Experience 10 years in Python development, with 3 years focused on data engineering/analytics. - Technical Expertise - Python Ecosystem Proficiency in Pandas, NumPy, and data manipulation libraries. - Databases Advanced SQL skills (complex queries, indexing, stored procedures) and ORM tools (e.g., SQLAlchemy). - Cloud Hands-on experience with Azure services (e.g., Azure Functions, Azure SQL, Data Lake, Synapse). - Data Pipelines Experience building batchreal-time ETL workflows. - Tools Git, Docker, CICD pipelines (e.g., Azure DevOps), and LinuxUnix environments. - Soft Skills Strong problem-solving, communication, and teamwork abilities. - Education Bachelors degree in Computer Science, Engineering, or a related field. Preferred Skills - Azure certifications (e.g., Azure Data Engineer, Azure Developer). - Experience with PySpark, Apache Airflow, or Kafka. - Knowledge of NoSQL databases (e.g., Cosmos DB). - Familiarity with DevOps practices (IaC, Terraform). - Exposure to machine learning frameworks (e.g., scikit-learn).

Created: 2026-03-10