Data Engineer with DBT

Role: Data Engineer with DBT

Duration: Long Term

Location: Remote EST working hours

• 14- 18 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

Preferred - Good to Have

• Familiarity with API security frameworks, token management and user access control including OAuth, JWT etc.,
• Background in healthcare data especially patient centric clinical data and provider data is a plus