Design and implement data pipelines using S3 Medallion Architecture (Bronze, Silver, Gold layers)
Build and maintain scalable ETL/ELT workflows using AWS Lambda and Step Functions
Develop data ingestion frameworks to pull data from external APIs
Transform and load data into Amazon Redshift for analytics and reporting
Write effective, reusable, and scalable code in Python
Ensure data quality, validation, and monitoring across pipelines
Optimize data storage and query performance in S3 and Redshift
Collaborate with data analysts, data scientists, and business stakeholders
Implement logging, alerting, and error-handling mechanisms
Maintain documentation for pipelines, data models, and workflows
Mandatory skills
Hands-on experience with AWS S3, Redshift, Lambda, and Step Functions; strong understanding of Medallion Architecture; proficiency in Python and SQL; experience with REST API integrations, JSON processing, authentication, data warehousing, workflow orchestration, event-driven architectures, data modeling, and schema design
📌 Aws Data Engineer (Maharashtra)
🏢 SRS Infoway
📍 Maharashtra
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