Infosys_ AWS Data Engineer_ Pune

Data Transformation developer with strong expertise in SQL and dbt, focused on building and maintaining scalable, secure, and automated data transformation pipelines. Proven experience in designing ELT workflows that transform data from raw to curated (gold) layers, ensuring high data quality through validation, consistency checks, and reliable data processing mechanisms. Hands-on experience with AWS data services (S3, Athena, Lambda) to build and manage scalable data workflows. Strong focus on pipeline performance, reliability, and operational stability through proactive monitoring, troubleshooting, and optimization. Experienced across the end-to-end data engineering lifecycledeveloping, testing, documenting, and deploying data products in Agile environments, adhering to established standards and best practices. Exposure to CI/CD practices and automation frameworks for efficient pipeline deployment and maintenance. Good understanding of data modeling concepts, with basic knowledge of Python for scripting and automation. Strong collaborator with effective communication skills, working with global teams and stakeholders to deliver high-quality, business-aligned data products Data Transformation developer with strong expertise in SQL and dbt, focused on building and maintaining scalable, secure, and automated data transformation pipelines. Proven experience in designing ELT workflows that transform data from raw to curated (gold) layers, ensuring high data quality through validation, consistency checks, and reliable data processing mechanisms. Hands-on experience with AWS data services (S3, Athena, Lambda) to build and manage scalable data workflows. Strong focus on pipeline performance, reliability, and operational stability through proactive monitoring, troubleshooting, and optimization. Experienced across the end-to-end data engineering lifecycledeveloping, testing, documenting, and deploying data products in Agile environments, adhering to established standards and best practices. Exposure to CI/CD practices and automation frameworks for efficient pipeline deployment and maintenance. Good understanding of data modeling concepts, with basic knowledge of Python for scripting and automation. Strong collaborator with effective communication skills, working with global teams and stakeholders to deliver high-quality, business-aligned data products