Senior Data Engineer

Job Title: Senior Data Engineer Experience: 15+ Years Visa: USC, GC Type: W2 (no C2C) Job Description: 12- 14 Plus 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 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 Note: Only W2 (No C2C) Job Types: Full-time, Contract Pay: $60.85 - $73.28 per hour Expected hours: 70 per week Work Location: On the road