Python Developer

Mandatory Skills:

• Python
• Data Analytics using Pandas DataFrame
• AWS

Good to Have Skills:

• Additional AWS Services and Experience

Responsibilities:

• Develop and maintain data analytics solutions using Python, with a strong emphasis on Pandas for data manipulation and analysis.
• Design, implement, and optimize data pipelines on AWS to support various data processing and analytics tasks.
• Collaborate with cross-functional teams to understand data requirements and deliver effective analytics solutions.
• Work with large datasets to perform data cleaning, transformation, and analysis, ensuring data quality and consistency.
• Implement best practices for data storage, retrieval, and security on AWS.
• Develop, test, and deploy scalable and efficient code to process and analyze data.
• Automate data workflows and processes to enhance efficiency and reduce manual effort.
• Stay updated with the latest industry trends and technologies in data analytics and cloud computing to continuously improve solutions.
• Troubleshoot and resolve issues related to data processing and analytics pipelines.
• Provide technical guidance and support to junior developers and other team members.

Qualifications:

• Proven experience as a Python Developer, with a focus on data analytics.
• Strong proficiency in using Pandas for data manipulation and analysis.
• Hands-on experience with AWS, including services such as S3, Lambda, EC2, RDS, and others.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
• Strong understanding of data processing, ETL pipelines, and data warehousing concepts.
• Familiarity with best practices for code versioning, testing, and deployment.

Nice to Have:

• Experience with additional AWS services and capabilities.
• Knowledge of machine learning frameworks and libraries.
• Familiarity with other data processing and analytics tools and technologies.
• Understanding of containerization and orchestration tools like Docker and Kubernetes.