Senior Data Engineer

xxxxxxxxxxxxxxxPlus years - Develop data pipelines for streaming and batch data processing needs to move data in and out of Snowflake data warehouse
Collaborate with engineering and DevOps team members to implement, test, deploy, and operate data pipelines and ETL solutions
10 Years Hands-on experience with Snowflake, including schema design, query optimization, and data load techniques
8 years of hands-on reporting experience leveraging Business Intelligence tools such as Looker, Qlik, Tableau, Power BI, etc.
Experience with DBT, including model development, testing, and documentation
Optimize data pipelines, ETL processes, and data integrations for large-scale data analytics use cases 
7+ years of experience in building and maintaining data pipelines and ETL/ELT processes in data-intensive organizations
Design, build, and maintain scalable data pipelines using Snowflake and DBT.
Design, build, and maintain scalable data pipelines using Snowflake and DBT.
Develop and manage ETL processes to ingest data from various sources into Snowflake.
Strong coding skills with Python and SQL for manipulating and analyzing data
Strong Experience on Anakonda and Jupyter Notebook tools
Hands-on experience with data movement using Snowpipe, Snow SQL, etc.
Able to build data integrations and ingestion pipelines for streaming and batch data
5 years of designing and implementing operational production grade large-scale data pipelines, ETL/ELT and data integration solutions
Hands-on experience with cloud platforms such as AWS and Google Cloud
Proficiency with Kafka, AWS S3, SQS, Lambda, Pub/Sub, AWS DMS, Glue