Senior Snowflake Data Engineer Location: “Houston, TX”. (Hybrid - 3 days/week onsite required) Exp: 15+ Years Description: At Client, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for Client and for the people who work here. NOTES: Here is some below mandatory tech stack needed Tech Stack :- (For your reference only) - Data Warehouse: Snowflake - ETL tools: dbt, Matillion - CDC/Replication tools: Qlik Attunity - AWS services for near real time and batch loading: AWS Lambda and AWS Glue (Python is the language of choice in these implementations) - Other AWS services used regularly : SNS, SQS, S3, (Kinesis streams, DynamoDB used sometimes based on integrations) - Versioning system: GitHub Sometimes we have use cases to connect different data sources like Oracle, Azure SQL DB, Postgres etc. so having a knowledge of these help. Basic Qualifications: • Experienced with 10+ years in implementing and operationalizing large scale data solutions in production environments using a variety of technologies and frameworks in the cloud or on premise. • Designs and builds performant data pipelines to support a range of business consumption patterns using a range of current data integration technologies (cloud, on-premises, or a combination) or custom approaches using Python, Java, Scala, etc. • Assists in adopting best practices in reporting and analysis including data integrity, test design, validation, and data quality and analysis. • Experienced with data replication using Qlik. (Should also have a Snowflake, Oracle, SQL, dbt skills) Responsibilities: The assigned resources will perform the following activities at the direction of client. • Design, build, test, and implement data pipelines and integration with client Snowflake Cloud Data • Warehouse per best practices and client IT policies and procedures. • Support client end user testing • Support data validation, data quality and analysis activities as requested by client