Analytics Engineer
MachinifyFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
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Must-haves include 5+ years in analytics engineering or data modeling, strong SQL skills with large-scale datasets, proficiency in modern data stack tools like dbt, Airflow, Snowflake, Redshift, BigQuery, experience with Python or TypeScript, AWS familiarity, and a collaborative mindset.
Poppulo values diverse perspectives, encourages applications even if not meeting all requirements, fosters growth, and emphasizes collaboration across data engineers, analysts, product teams, data scientists, and ML engineers.
Strong candidates have 5+ years in analytics engineering, strong SQL and data modeling skills, proficiency in tools like dbt and AWS, scripting experience, and a collaborative mindset; even if not a perfect match, diverse perspectives are valued.
Communication solutions for employee engagement
Poppulo focuses on enhancing communication between businesses and their key audiences, including customers and employees. The company offers solutions that facilitate effective communication, recognizing it as a fundamental human need. Poppulo's products are designed to help organizations create meaningful connections and improve workplace experiences. Unlike many competitors, Poppulo emphasizes the importance of people in its approach, aiming to foster a more informed and connected world. The company's goal is to empower its customers to achieve impactful communication that leads to positive results.