Risk And Finance Data Analyst-2 (Python With AWS) Capgemini

  • company name Capgemini
  • working location Office Location
  • job type Full Time

Experience: 4 - 4 years required

Pay:

Salary Information not included

Type: Full Time

Location: Maharashtra

Skills: API Development, version control, Python Expertise, AWS Knowledge, cloud infrastructure, Automation Scripting, CICD pipelines

About Capgemini

Job Description

As a Python Developer with expertise in AWS, you will be responsible for developing cloud-based applications, constructing data pipelines, and seamlessly integrating with various AWS services. Your role will involve close collaboration with DevOps, Data Engineering, and Product teams to conceptualize and deploy solutions that are not only scalable and resilient but also optimized for efficiency within an AWS cloud environment. Your primary responsibilities will include designing, developing, and maintaining applications and services using Python within the cloud infrastructure. You will leverage a range of AWS services such as EC2, S3, Lambda, RDS, DynamoDB, and API Gateway to build robust and scalable solutions. Additionally, you will be tasked with developing and managing data pipelines, integrating data from diverse sources into AWS-based storage solutions, and designing RESTful APIs for seamless application communication and data exchange. Monitoring and optimizing cloud resources for cost efficiency, performance, and security will be crucial aspects of your role. You will also be expected to automate workflows and deployment processes using tools like AWS Lambda, CloudFormation, and other automation technologies. Implementing security best practices, such as IAM roles and encryption, to safeguard data and ensure compliance within the cloud environment will be paramount. Collaboration will play a key role in your day-to-day activities as you work closely with DevOps, Cloud Engineers, and fellow developers to ensure the smooth deployment and integration of applications. Continuous improvement of development processes and deployment practices will be encouraged, fostering an environment of innovation and efficiency. In terms of primary skills, you should possess strong expertise in Python programming, including proficiency in libraries like Pandas, NumPy, Boto3 (AWS SDK for Python), and frameworks such as Flask or Django. Hands-on experience with AWS services like S3, EC2, Lambda, RDS, DynamoDB, CloudFormation, and API Gateway will be essential. Your experience in designing, deploying, and maintaining cloud-based applications using AWS infrastructure, as well as developing RESTful APIs and managing data exchanges, will be highly valued. Furthermore, familiarity with automation tools and scripts, version control using Git, and building CI/CD pipelines for cloud-based applications will be advantageous secondary skills that can enhance your effectiveness in this role.,