Data Engineer: Snowflake Pipelines & Analytics

Ebsco Subscription Services España SL

Birmingham (AL)

Presencial

USD 90.000 - 130.000

Tempo integral

Há 6 dias
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Resumo da vaga

Moultrie is seeking a Data Engineer to join the Data and Analytics Team to maintain and extend the foundational data layer in Snowflake. The role involves full-stack data development, data modeling, and collaboration with marketing, operations, and finance teams to activate data for BI products.

Core stack includes dbt, Snowflake, Airflow evaluation, and integration with telemetry, customer, subscription, and transactional data.

Qualificações

  • 4+ years in data engineering or analytics engineering with hands-on experience building production data pipelines.
  • Proficiency in SQL: modular logic in dbt.
  • Python for ingestion, transformation, and automation.
  • Experience with Git and standard SDLC practices (CI/CD, code reviews).
  • Ability to turn business questions into repeatable data models and deliver in sprints.
  • Strong documentation for data models, lineage, and dictionaries.
  • Collaborative style across data engineering, analytics, and business teams.

Responsabilidades

  • Design, build, and maintain pipelines moving data into Snowflake with ingestion patterns and failure alerts.
  • Model data at bronze to platinum levels in dbt with tests and docs.
  • Build semantic models for natural language querying.
  • Evaluate downstream tools aligning with data build requirements.
  • Translate business questions into reliable data models with cross-team collaboration.
  • Work with data scientists to support predictive modelling efforts.
  • Own data quality checks across pipelines and models.

Conhecimentos

SQL
Python
Git
Documentation
Collaboration

Ferramentas

dbt
Snowflake
Airflow
ADF
Tableau/Streamlit

Descrição da vaga

Moultrie is seeking a Data Engineer to join the Data and Analytics Team to maintain and extend the foundational data layer in Snowflake. The role involves full-stack data development, data modeling, and collaboration with marketing, operations, and finance teams to activate data for BI products.

Core stack includes dbt, Snowflake, Airflow evaluation, and integration with telemetry, customer, subscription, and transactional data.

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