Middle Analytics Engineer (ThoughtSpot Focus) (в архиве)

• Work with a modern lakehouse stack: Databricks, Delta Lake, dbt, orchestration tools, and cloud services
• A collaborative engineering culture with strong code review practices and knowledge sharing
• The opportunity to grow together with our Data Engineering practice and influence its development
• Participation in complex projects such as migrations, platform modernization, and large-scale data initiatives
• Flexible environment, autonomy in problem-solving, and support for professional development (certifications, courses, conferences)

Required skills:

• 3+ years in Data Engineering or BI/Analytics.
• Hands-on experience with ThoughtSpot: understanding of how to build Worksheets, TML files, and logical data models.
• Strong SQL skills: ability to write and debug complex analytical queries.
• Security knowledge: Experience managing users, groups, and SSO integrations (SAML/OIDC) in any BI or Data tool.
• Good communication skills to explain data concepts to non-technical users.

Nice-to-have skills:

• Experience with Modern Data Stack: Cloud Data Warehouse (Snowflake, Databricks, or BigQuery) + dbt
• Cloud vendors certificates

Responsibilities:

• Experience building and maintaining ThoughtSpot Worksheets, Views, and the semantic layer (TML).

• Strong understanding of data modeling (star schema) in Snowflake and/or Databricks.

• Ability to optimize search experience (synonyms, keywords, drill paths).

• Experience managing Access & Identity, including Auth Provider integrations and SSO.

• Knowledge of data governance, including Row-Level Security (RLS) based on IdP groups and attributes.

• Experience monitoring platform usage, query performance, and driving analytics adoption.