Design, develop, and implement scalable, secure, and high-performance data architectures on AWS.Lead the architecture and development of large-scale data platforms utilizing AWS services such as S3, Redshift, RDS, Lambda, Glue, EMR, Athena, and others.Develop and optimize data pipelines and workflows using Python and AWS services.Design and implement data lakes and data warehouses for efficient storage and querying of large datasets.Collaborate with business stakeholders and cross-functional teams to gather requirements and translate them into technical solutions.Ensure high-quality data availability, integrity, and security across platforms.Automate manual processes, build frameworks, and implement CI / CD pipelines for data workflows.Monitor and optimize the performance of data systems, databases, and processing pipelines.Develop and maintain documentation for data models, processes, and infrastructure.Provide mentorship and leadership to junior developers and data engineers.Stay up-to-date with emerging AWS technologies, Python libraries, and industry best practicesSkills Required
Lambda, Data Architecture, Data Warehousing, Python, Aws