Summary
✨ AI‑Generated
Develop scalable Python‑based web services and cloud data platforms using Azure and Databricks, ensuring security, high performance, and reliability for business reporting and analytics.
Highlights
Design and maintain scalable Python web applications and cloud data platforms on Azure and Databricks, delivering secure, high‑performance solutions for enterprise reporting and analytics.
Description
We are seeking an experienced Web & Python Developer to design, develop, and support scalable web applications, APIs, and cloud based data solutions.
The role involves working with Python, Azure, Databricks, SQL, and modern data platforms to deliver secure, high performance solutions that support business reporting, analytics, and digital initiatives.
Key Responsibilities
Develop and maintain web applications, APIs, and data pipelines.Build scalable solutions using Python, Azure, and Databricks.Design and optimize data ingestion, transformation, and reporting workflows.Collaborate with stakeholders to gather requirements and deliver business solutions.Ensure solutions meet security, performance, scalability, and reliability standards.Create technical documentation, test plans, and deployment procedures.Support production environments and drive continuous improvements.Required Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.7+ years of experience in Data Engineering, Backend Development, or related technology roles.Experience leading or mentoring technical team members.Technical Skills
Strong Python development skills (Django, Flask, FastAPI).Advanced SQL and data modeling expertise.Azure Cloud and Azure Databricks experience.Experience with Spark, Hive, and big data technologies.Knowledge of REST APIs, Microservices, and CI/CD practices.Familiarity with Airflow, Control M, Git, Jenkins, JSON, XML, and cloud data platforms.Soft Skills
Strong communication and stakeholder management skills.Analytical mindset with excellent problem solving abilities.Ability to work independently in fast paced agile environments.Strong prioritization, collaboration, and mentoring capabilities.Preferred Skills
Experience with Kafka, Spark Streaming, and real time data processing.Exposure to solution architecture and Data as a Service frameworks.