Description

Key Skills: AWS Glue, AWS CloudFormation, AWS CloudWatch, Python, Amazon S3, Apache Spark, ETL, AWS DevOps, AWS Glue Studio, Data Processing

Roles & Responsibilities:

• Design and implement scalable data processing solutions using AWS Glue and related services to optimize performance and efficiency.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for cloud-based applications.
• Develop and maintain ETL processes using AWS Glue Studio and AWS Glue ETL to ensure seamless data integration and transformation.
• Utilize AWS CloudFormation to automate infrastructure provisioning and management ensuring consistency and reliability across environments.
• Monitor and optimize system performance using AWS CloudWatch identifying and resolving issues proactively to maintain high availability.
• Implement DevOps practices using AWS DevOps tools to streamline development workflows and enhance deployment processes.
• Leverage Python programming skills to develop robust and efficient data processing scripts and applications.
• Manage and optimize data storage solutions using Amazon S3 ensuring data security and accessibility.
• Utilize Apache Spark for distributed data processing enhancing the speed and efficiency of data analytics tasks.
• Collaborate with stakeholders to ensure solutions align with business objectives and contribute to overall company goals.
• Provide technical guidance and mentorship to junior developers fostering a culture of continuous learning and improvement.
• Stay updated with the latest AWS technologies and industry trends to ensure solutions remain cutting-edge and competitive.
• Contribute to the company's purpose by developing solutions that enhance data-driven decision-making and impact society positively.

Experience Required: 6 to 9 years

Key Skills

Education

Any Graduate