Senior Data Engineer

Opportunity 

What you'll do:

• Develop, test, and maintain data architectures in Snowflake using Python, SQL, and modern data orchestration frameworks to deliver on business requirements. 

• Uphold data quality standards, implementing tools and frameworks to detect and rectify data inconsistencies and inaccuracies. 

• Optimize pipelines and data structures to ensure peak performance.  

• Identify resolve bottlenecks by refactoring code and/or modifying flows. 

• Drive initiatives for new data collection while refining existing data sources. 

• Ensuring the highest standards of data integrity, accuracy, and reliability. 

• Troubleshoot existing ETL pipelines and work with partners to resolve them in a timely manner. 

• Develop and update technical documentation. 

• Manage conflicting priorities and multiple projects concurrently. 

Who you are:

• 5+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects. 

• Familiarity with Airflow, Dagster or similar data orchestration frameworks  

• Strong understanding of RESTful APIs as well as experience working with both synchronous and asynchronous endpoints 

• Experience with Snowflake or Redshift with a strong understanding of SQL. 

• Proficient in Python and Pandas 

• Experience working with JSON and XML 

• Strong understanding of cloud computing concepts and services (AWS preferably) 

• Experience with Git or equivalent version control systems and CI/CD pipelines. 

• Familiarity with dbt a pluspythongoawsaidataproductdesignmarketingsales