Data Pipeline Engineer

Required Skills :

• 5-8 years of experience in an analytics role with strong focus on Data Engineering
• Passionate about data, analytics and automation. Experience cleaning and modeling large quantities of raw, disorganized data (we use dbt)
• Experience with a variety of data sources (structured and unstructured, HL7 format is a plus)
• Demonstrate capacity to clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions
• Deep understanding of SQL in analytical data warehouse (we use Snowflake SQL) and exposure to business intelligence tools would be a plus (we use Tableau)
• Hands on experience working with SQL, performing ETL / ELT operations and building data pipelines (Using Azure or Kestra)
• Familiarity with Git and the command line
• Deep understanding of relational and non-relational databases, SQL and query optimization techniques, and demonstrated ability to both diagnose and prevent performance problems (MS SQL and PostgresSQL)
• Effective communication and collaboration skills, including clear status updates
• Comfort working in a highly agile, iterative environment