DBT Analytics Lead Engineer

InApp Inc.

United States

Ibrido

USD 140.000 - 210.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

InApp Inc. is seeking a DBT Analytics Lead Engineer with 8–12 years of experience in data modeling, dbt, and Snowflake. The role focuses on transforming complex legacy data into reliable analytical models and building scalable dbt models in Snowflake.

You will collaborate with analysts and stakeholders to translate business requirements into data models, implement data quality tests, and optimize performance. Remote/hybrid arrangement with strong communication to ensure data integrity.

Competenze

  • 8–12 years in data warehousing, analytics engineering, or data modeling.
  • Active dbt Analytics Engineering Certification mandatory.
  • Strong Kimball dimensional modeling expertise required.

Mansioni

  • Build and maintain scalable dbt models in Snowflake.
  • Transform legacy data into a reliable single source of truth.
  • Implement data quality tests, documentation, and data lineage.
  • Optimize SQL queries and analytical models for performance.
  • Collaborate with reporting analysts and stakeholders to translate requirements.
  • Communicate modeling decisions and downstream impacts clearly.

Conoscenze

8–12 years experience
dbt Core
dbt Cloud
Snowflake
SQL
Kimball modeling
Star/Snowflake schemas
SCD Types 1 & 2
Data modeling
Data quality tests
Data lineage
Legacy data transformation
Certification: dbt Analytics Eng
Communication skills

Strumenti

dbt Core
dbt Cloud
Snowflake

Descrizione del lavoro

InApp Inc. is seeking a DBT Analytics Lead Engineer with 8–12 years of experience in data modeling, dbt, and Snowflake. The role focuses on transforming complex legacy data into reliable analytical models and building scalable dbt models in Snowflake.

You will collaborate with analysts and stakeholders to translate business requirements into data models, implement data quality tests, and optimize performance. Remote/hybrid arrangement with strong communication to ensure data integrity.

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