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5.0 - 10.0 years

16 - 25 Lacs

Hyderabad, Bengaluru

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Urgent Hiring for PySpark Data Engineer:- Job Location- Bangalore and Hyderabad Exp- 5yrs-9yrs Share CV Mohini.sharma@adecco.com OR Call 9740521948 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

Posted 6 days ago

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5.0 - 10.0 years

16 - 25 Lacs

Hyderabad, Bengaluru

Work from Office

Naukri logo

PySpark Data Engineer:- 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 Share updated resume at siddhi.pandey@adecco.com or whatsapp at 6366783349

Posted 6 days ago

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0.0 - 1.0 years

1 - 4 Lacs

Pune

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Job Summary Outmarch is a fast-growing retail startup searching for flexible go-getters who welcome the challenge of meeting the needs of a growing business. Your primary focus will be on developing and maintaining our backend infrastructure, including APIs, microservices, and databases. You will be responsible for ensuring that our backend systems are scalable, performant, and secure. You will also work closely with our front-end developers to ensure that our APIs are well-documented and easy to use. Responsibilities Design, develop, and maintain backend systems using Node.js Build and maintain APIs using RESTful principles Develop and maintain microservices using microservice architectures Design and optimize database schemas Implement security measures to protect our backend systems Write well-documented code and maintain clear documentation Work closely with front-end developers to ensure a smooth integration between the backend and frontend Collaborate with other backend developers to share knowledge and solve problems Required Skills Bachelor's degree in computer science, information technology, or a related technical field Strong proficiency in Node.js, Express, and other relevant frameworks and libraries Experience with database technologies, such as PostgreSQL or MongoDB Experience with microservice architectures Experience with API development using RESTful principles Excellent problem-solving and debugging skills Strong communication and collaboration skills Job Type: Internship Schedule: Day shift Monday to Friday

Posted 2 weeks ago

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