Snowflake Developer

Jersey, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 30-10-2025

Vacancies: 1 Vacancy

Job Summary

Mandatory Skills: Data Engineer - DBT Snowflake Airflow SQL SnowPro Core Certification.

Job Description:

Design and develop scalable data pipelines using modern data stack technologies for Cloud data platform.
Write ETL processes design data applications and develop data pipelines for Operational Business Intelligence Mart
Role involves analyzing technical metadata Data Pipeline logs and data lineage for data platform and providing insights to support data platform operational decisions.
Collaborate with cross-functional teams to understand and Elucidate Observability requirements for the data platform considering SLA operational needs DQ and proactive monitoring.
Work with other engineers on the team to elevate technology and consistently apply best practices.

DBT Experience is a must require :

DBT macros and overwriting
DBT Custom Schemas
DBT Materialization details
Snowflake Cluster Keys
Snowflake SQL functions

Required Skill and Experience:

A minimum of 7 years of IT experience in data engineering or data management field
4 - 5 years of experience in application development using SQL PLSQL
Strong working knowledge and min of 2 years experience in DBT Snowflake
Hands-on experience with Airflow is highly recommended
Strong working experience with Python python pandas.
Recent experience as a Senior Data Engineer in any public cloud preferably on Azure as well as on a cloud warehouse like Snowflake is required
2 years of experience in building data pipelines using various ETL and ELT tools
Experience in building cloud native solutions preferably on Azure including the use of DevOps CI / CD tools and containers.
Proven experience as a Data Analyst or in a similar role.
Strong proficiency in Data Modelling process metadata observability and monitoring data platforms.

Familiarity with data modelling tools / techniques is a plus
Azure or Snowflake training / certification is a plus
Strong analytical problem solving communication collaborative and organizational skills
Self-driven self-directed passionate analytical and focused on delivering the right results

Mandatory Skills: Data Engineer - DBT Snowflake Airflow SQL SnowPro Core Certification. Job Description: Design and develop scalable data pipelines using modern data stack technologies for Cloud data platform. Write ETL processes design data applications and develop data pipelines for Operationa...

Mandatory Skills: Data Engineer - DBT Snowflake Airflow SQL SnowPro Core Certification.

Job Description:

Design and develop scalable data pipelines using modern data stack technologies for Cloud data platform.
Write ETL processes design data applications and develop data pipelines for Operational Business Intelligence Mart
Role involves analyzing technical metadata Data Pipeline logs and data lineage for data platform and providing insights to support data platform operational decisions.
Collaborate with cross-functional teams to understand and Elucidate Observability requirements for the data platform considering SLA operational needs DQ and proactive monitoring.
Work with other engineers on the team to elevate technology and consistently apply best practices.

DBT Experience is a must require :

DBT macros and overwriting
DBT Custom Schemas
DBT Materialization details
Snowflake Cluster Keys
Snowflake SQL functions

Required Skill and Experience:

A minimum of 7 years of IT experience in data engineering or data management field
4 - 5 years of experience in application development using SQL PLSQL
Strong working knowledge and min of 2 years experience in DBT Snowflake
Hands-on experience with Airflow is highly recommended
Strong working experience with Python python pandas.
Recent experience as a Senior Data Engineer in any public cloud preferably on Azure as well as on a cloud warehouse like Snowflake is required
2 years of experience in building data pipelines using various ETL and ELT tools
Experience in building cloud native solutions preferably on Azure including the use of DevOps CI / CD tools and containers.
Proven experience as a Data Analyst or in a similar role.
Strong proficiency in Data Modelling process metadata observability and monitoring data platforms.

Familiarity with data modelling tools / techniques is a plus
Azure or Snowflake training / certification is a plus
Strong analytical problem solving communication collaborative and organizational skills
Self-driven self-directed passionate analytical and focused on delivering the right results