Source description
About the role
Role: DBT / Snowflake Data Engineer
Location: REMOTE Duration:6+ month contract
Tech Stack:
DBT Snowflake GIT Data Profiling, bleeding a tad into the analyst realm
Nice to have: CI/CD pipeline experience Healthcare and/or clinical data Epic Azure DevOps Data Modeling
Principal Duties and Responsibilities
Perform EDW ETL/ELT ingestions and integrations to ensure support data and analytic needs. Build and enhance standard solution that provides efficient and scalable ETL/ELT solutions from multiple data sources. Ensure the quality of data assets and robustness of data engineering processes. Experience with change control, release management and other ITIL processes. Participate in building out EDW on Snowflake, expanding and optimizing the data ecosystem, as well as optimizing data engineering processes. Support BI Developers, Data Architects, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Conduct ETL solution, code, and pre-prod review to ensure optimal data delivery architecture is consistent throughout ongoing projects. Perform troubleshooting on ETLs and related components. Identify application bottlenecks and opportunities to optimize performance. Qualifications:
7+ plus years of experience designing and building data ingestions and data integration solution for Enterprise Data and Analytics Solutions 3+ years of experience with developing data pipelines using on Snowflake features ( Snowpipe, SnowSQL, Snow Sight, Data Streams ) 2+ years of experience with developing models in DBT Demonstrate good knowledge of scrum & agile principles Experience with Azure DevOps, Azure Git and CI/CD data pipeline integrations. Demonstrates good knowledge of cloud computing platforms such as Azure Experience of support and enhance existing Enterprise Data Warehouse or Data Lake Ensure designed systems are highly reliable, self-recovering, and require little or no supporting manpower Familiar with change control, release management, and other ITIL methodology Deep experience in traditional Data Warehousing & Cloud data warehousing Mastery of SQL, especially within cloud-based data warehouses like Snowflake Experience developing data pipelines using Snowflake features (Snow pipe, SnowSQL, Data Streams, Snow Sight) Experience with logical and physical data modeling Healthcare experience, most notably in Clinical data, Epic, Payer data and reference data is a plus but not mandatory. Ability to clearly and concisely communicate complex technical concepts to both technical and non-technical audiences Proven verbal, communication, and presentation skills Proven ability to work independently.
Thanks & Regards, Ramyasree US IT RECRUITER Thought wave Software and Solutions 314 N. Lake St, Suite 6, Aurora IL 60506 Desk: 6302164696 Email:ramyasree@thoughtwavesoft.com LinkedIn: https://www.linkedin.com/in/ramya-sree-kolla-519839221/
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