Data Engineer – Snowflake

• 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