Job Description:
Summary
The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure. They must have experience with SQL and Python.
Roles & Responsibilities:
● Collaborate with product, business, and engineering stakeholders to understand key metrics, data needs, and reporting pain points.
● Design, build, and maintain clean, scalable, and reliable data models using DBT.
● Write performant SQL and Python code to transform raw data into structured marts and reporting layers.
● Create dashboards using Tableau or similar tools.
● Work closely with data platform engineers, architects, and analysts to ensure data pipelines are resilient, well-governed, and high quality.
● Define and maintain source-of-truth metrics and documentation in the analytics layer.
● Partner with product engineering teams to understand new features and ensure appropriate
instrumentation and event collection.
● Drive reporting outcomes by building dashboards or working with BI teams to ensure timely delivery of insights.
● Help scale our analytics engineering practice by contributing to internal tooling, frameworks, and best practices.
Who You Are:
Experience : 3 to 4 years of experience in analytics/data engineering, with strong hands-on expertise in DBT, SQL, Python and dashboarding tools.
● Experience working with modern data stacks (e.g., Snowflake, BigQuery, Redshift, Airflow).
● Strong data modeling skills (dimensional, star/snowflake schema, data vault, etc.).
● Excellent communication and stakeholder management skills.
● Ability to work independently and drive business outcomes through data.
● Exposure to product instrumentation and working with event-driven data is a plus.
● Prior experience in a fast-paced, product-led company is preferred.