Snowflake & Python Data Engineer | DBT & ETL Expert

Phyton Talent Advisors

Jersey City (NJ)

Presencial

USD 110 000 - 160 000

Tempo integral

há 15 horas
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Resumo da oferta

Phyton Talent Advisors in Jersey City, NJ is seeking a data/analytics engineer to design, build, and maintain scalable dbt models and ETL pipelines in Snowflake. You will collaborate with analysts and developers, implement data security, and participate in Agile ceremonies.

The ideal candidate has 3–5+ years in data engineering, strong SQL, dbt, Snowflake, Airflow, and experience with AWS. This onsite role requires on-site interviews next week in Jersey City.

Qualificações

  • 3–5+ years of data engineering or analytics engineering experience.
  • Strong SQL and data transformation skills with dbt core/cloud.
  • Experience building pipelines in Snowflake and Airflow.
  • Familiarity with data modeling (Kimball/Dimensional).

Responsabilidades

  • Design, build, and maintain dbt models and pipelines.
  • Write Python operators in dbt flow and craft Jinja macros.
  • Develop data warehouses using Snowflake.
  • Load data from multiple sources via ETL/ELT pipelines.
  • Optimize Snowflake performance and manage clustering.
  • Implement data security and access controls.
  • Collaborate with engineers and analysts to translate requirements into models.
  • Ensure data quality through testing and documentation.
  • Participate in Agile ceremonies and manage tasks with Jira.
  • Integrate dbt into CI/CD pipelines and monitor pipelines.

Conhecimentos

SQL
dbt
Snowflake
Airflow
Jira
Git
Agile/Scrum
CI/CD
AWS
Data Modeling
Docker

Formação académica

Bachelor's degree in CS/Data Eng

Ferramentas

Snowflake
Airflow
AWS
Sigma
Qlik
Power BI
Docker

Descrição da oferta de emprego

Phyton Talent Advisors in Jersey City, NJ is seeking a data/analytics engineer to design, build, and maintain scalable dbt models and ETL pipelines in Snowflake. You will collaborate with analysts and developers, implement data security, and participate in Agile ceremonies.

The ideal candidate has 3–5+ years in data engineering, strong SQL, dbt, Snowflake, Airflow, and experience with AWS. This onsite role requires on-site interviews next week in Jersey City.

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