Data Engineer Snowflake

As an experienced Data Architect, you will be responsible for translating customer requirements into scalable data architecture and high-performance cloud data solutions. Your key responsibilities will include: - Designing and implementing data ingestion pipelines using Snowpipe and SnowSQL - Building and managing data platforms utilizing AWS services such as EMR, Redshift, S3, Kinesis, Glue, Athena, and RDS - Developing and optimizing ETL/ELT workflows using dbt, Python, and Airflow - Working on Snowflake-based data warehousing solutions including loading, transformation, and performance tuning - Ensuring secure data architecture by implementing encryption, KMS keys, and compliance best practices - Creating reusable cloud infrastructure templates using CloudFormation and automation scripts - Supporting data migration from legacy systems like Teradata, DataStage, and Hadoop - Monitoring and optimizing system performance, scalability, and reliability - Collaborating with stakeholders to design architecture and deliver production-ready solutions - Documenting best practices, architecture designs, and reusable patterns No additional details of the company are present in the job description. As an experienced Data Architect, you will be responsible for translating customer requirements into scalable data architecture and high-performance cloud data solutions. Your key responsibilities will include: - Designing and implementing data ingestion pipelines using Snowpipe and SnowSQL - Building and managing data platforms utilizing AWS services such as EMR, Redshift, S3, Kinesis, Glue, Athena, and RDS - Developing and optimizing ETL/ELT workflows using dbt, Python, and Airflow - Working on Snowflake-based data warehousing solutions including loading, transformation, and performance tuning - Ensuring secure data architecture by implementing encryption, KMS keys, and compliance best practices - Creating reusable cloud infrastructure templates using CloudFormation and automation scripts - Supporting data migration from legacy systems like Teradata, DataStage, and Hadoop - Monitoring and optimizing system performance, scalability, and reliability - Collaborating with stakeholders to design architecture and deliver production-ready solutions - Documenting best practices, architecture designs, and reusable patterns No additional details of the company are present in the job description.