PySpark Azure Data Engineer
- Real Estate Developers
- 5 - 10 years
- Hyderabad
- 10 months ago
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Job Description
Urgent Hiring for PySpark Data Engineer:-
Job Location- Bangalore and Hyderabad
Exp- 5yrs-9yrs
Share CV Mo**********a@ad***o.com OR Call 9740521***
Job Description:
1. API Development: Design, develop, and maintain robust APIs using FastAPI and RESTful principles for scalable backend systems.
2. Big Data Processing: Leverage PySpark to process and analyze large datasets efficiently, ensuring optimal performance in big data environments.
3. Full-Stack Integration: Develop seamless backend-to-frontend feature integrations, collaborating with front-end developers for cohesive user experiences.
4. CI/CD Pipelines: Implement and manage CI/CD pipelines using GitHub Actions and Azure DevOps to streamline deployments and ensure system reliability.
5. Containerization: Utilize Docker for building and deploying containerized applications in development and production environments.
6. Team Leadership: Lead and mentor a team of developers, providing guidance, code reviews, and support to junior team members to ensure high-quality deliverables.
7. Code Optimization: Write clean, maintainable, and efficient Python code, with a focus on scalability, reusability, and performance.
8. Cloud Deployment: Deploy and manage applications on cloud platforms like Azure, ensuring high availability and fault tolerance.
9. Collaboration: Work closely with cross-functional teams, including product managers and designers, to translate business requirements into technical solutions.
10. Documentation: Maintain thorough documentation for APIs, processes, and systems to ensure transparency and ease of maintenance
Highlighted Skillset:-
- Big Data: Strong PySpark skills for processing large datasets.
- DevOps: Proficiency in GitHub Actions, CI/CD pipelines, Azure DevOps, and Docker.
- Integration: Experience in backend-to-frontend feature connectivity.
- Leadership: Proven ability to lead and mentor development teams.
- Cloud: Knowledge of deploying and managing applications in Azure or other cloud environments.
- Team Collaboration: Strong interpersonal and communication skills for working in cross-functional teams.
- Best Practices: Emphasis on clean code, performance optimization, and robust documentation
Job Classification
Industry: Financial Services (Asset Management)Functional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: American multinationalLocation(s): Hyderabad
Keyskills: Pyspark CI/CD pipelines GitHub Actions Docker Azure Devops FastAPI RESTful principles
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