Data Analyst(Python & AWS) | 4 to 9 Years @ Capgemini

Job Description

Job Description As a Python Developer with AWS, you will be responsible for developing cloud-based applications, building data pipelines, and integrating with various AWS services. You will work closely with DevOps, Data Engineering, and Product teams to design and deploy solutions that are scalable, resilient, and efficient in an AWS cloud environment. Python Development: Design, develop, and maintain applications and services using Python in a cloud environment. AWS Cloud Services: Leverage AWS services such as EC2, S3, Lambda, RDS, DynamoDB, and API Gateway to build scalable solutions. Data Pipelines: Develop and maintain data pipelines, including integrating data from various sources into AWS-based storage solutions. API Integration: Design and integrate RESTful APIs for application communication and data exchange. Cloud Optimization: Monitor and optimize cloud resources for cost efficiency, performance, and security. Automation: Automate workflows and deployment processes using AWS Lambda, CloudFormation, and other automation tools. Security & Compliance: Implement security best practices (e.g., IAM roles, encryption) to protect data and maintain compliance within the cloud environment. Collaboration: Work with DevOps, Cloud Engineers, and other developers to ensure seamless deployment and integration of applications. Continuous Improvement: Participate in the continuous improvement of development processes and deployment practices. Primary Skills Python Expertise: Strong experience in Python programming, including using libraries like Pandas, NumPy, Boto3 (AWS SDK for Python), and frameworks like Flask or Django. AWS Knowledge: Hands-on experience with AWS services such as S3, EC2, Lambda, RDS, DynamoDB, CloudFormation, and API Gateway. Cloud Infrastructure: Experience in designing, deploying, and maintaining cloud-based applications using AWS. API Development: Experience in designing and developing RESTful APIs, integrating with external services, and managing data exchanges. Automation & Scripting: Experience with automation tools and scripts (e.g., using AWS Lambda, Boto3, CloudFormation). Version Control: Proficiency with version control tools such as Git. CI/CD Pipelines: Experience building and maintaining CI/CD pipelines for cloud-based applications. Secondary Skills,

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   API Development Version Control Cloud Infrastructure