Data Warehouse Engineer

Stack

Responsibilities

• ▹Analyze, process, and interpret large datasets to generate actionable insights
• ▹Develop and maintain ingestion and transformation processes
• ▹Design data warehouse models

Requirements

• ▹Commercial experience with cloud-based solutions (at least 1 year)
• ▹Commercial experience with data warehouses (at least 2 years)
• ▹Experience with Snowflake
• ▹Strong proficiency in SQL (including complex analytical queries and data transformations)
• ▹Understanding of the Data Lakehouse approach
• ▹Experience with source version control systems (Git)
• ▹Excellent analytical and problem-solving skills

Nice to have

• ▹Experience with dbt and the AWS stack (MWAA, Lambda, SQS, SNS, S3)
• ▹Experience with data visualization and BI tools (such as Power BI or Looker)
• ▹AWS and Power BI experience

Soft skills

What we offer

• ▹Flexible and remote cooperation options
• ▹International projects with leading global clients
• ▹Travel related to international projects
• ▹Non-corporate atmosphere
• ▹Access to language classes
• ▹Access to knowledge-sharing initiatives
• ▹Access to private healthcare and life insurance
• ▹Access to a multisport card

About the company

Software Mind develops solutions for companies around the globe, working with tech giants and unicorns. It builds cross-functional engineering teams and its culture embraces openness and respect.