• Translate customer requirements into scalable data architecture and high-performance cloud data solutions
• Design and implement data ingestion pipelines using Snowpipe and SnowSQL
• Build and manage data platforms using AWS services such as EMR, Redshift, S3, Kinesis, Glue, Athena, and RDS
• Develop and optimize ETL/ELT workflows using dbt, Python, and Airflow
• Work on Snowflake-based data warehousing solutions including loading, transformation, and performance tuning
• Ensure secure data architecture using encryption, KMS keys, and compliance best practices
• Create reusable cloud infrastructure templates using CloudFormation and automation scripts
• Support data migration from legacy systems like Teradata, DataStage, and Hadoop
• Monitor and optimize system performance, scalability, and reliability
• Collaborate with stakeholders to design architecture and deliver production-ready solutions
• Document best practices, architecture designs, and reusable patterns
Skills Required
snowflake, Data Warehousing, data engineering, dbt, Aws, Python