Python Developer
acestackChicago (IL)
About the role
Senior Python Developer
Location:
Chicago, ILContract 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 SQL Alchemy 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. 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 batch real-time ETL workflows. Tools Git, Docker, CICD pipelines (e.g., Azure DevOps), and Linux/Unix environments. Soft SkillsStrong 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).
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