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About the role
Key Responsibilities Design, develop, and maintain serverless data solutions using AWS Lambda . Build, enhance, and support scalable data ingestion, transformation, and processing pipelines using Python . Develop and optimize enterprise data warehouse solutions using Amazon Redshift , including query optimization and performance tuning. Design, implement, and manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability. Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions. Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data solutions. Support production deployments, monitor pipeline performance, troubleshoot issues, and provide timely resolutions. Implement AWS best practices for architecture, security, monitoring, scalability, and cost optimization. Optimize ETL/ELT processes to improve performance and maintainability. Participate in code reviews, documentation, and continuous improvement initiatives. Required Skills Strong hands-on experience with AWS Lambda . Proficiency in Python for data engineering and automation. Experience with Amazon Redshift for data warehousing, query optimization, and performance tuning. Strong knowledge of Amazon DynamoDB and NoSQL database design. Experience in building scalable ETL/ELT pipelines. Good understanding of AWS services, cloud-native architecture, and serverless computing. Knowledge of data quality, governance, and security best practices. Strong problem-solving, analytical, and communication skills. Preferred Skills Experience with additional AWS services such as Amazon S3, AWS Glue, Step Functions, IAM, CloudWatch, SNS/SQS , or EventBridge . Familiarity with CI/CD pipelines and infrastructure-as-code tools such as Terraform or CloudFormation . Experience working in Agile/Scrum environments. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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