Data Engineer – Snowflake, DBT

Everest Technologies, Inc

Data Engineer developing scalable data pipelines using Snowflake for a leading IT solutions provider. Collaborating with teams to integrate and transform data for analytics initiatives.

Posted 7/23/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable cloud-based data pipelines, with a strong focus on Snowflake and dbt. Proficient in data integration, dimensional modeling, and implementing data quality measures to ensure accuracy and reliability.

Highest-signal resume keywords

SnowflakeDbt (Data Build Tool)FivetranSQLData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Transformation ModelsChange Data Capture (CDC)Dimensional ModelingData Quality ChecksIncremental Data LoadingQuery OptimizationData Warehousing ConceptsELT/ETL MethodologiesTechnical Documentation

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AirbyteGitAgile/Scrum

Industry Keywords

Data IntegrationData AccuracyData LineageMetadata ManagementBusiness Requirements

Tech Stack

Tools & technologies

CloudERPETLSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable cloud-based data pipelines using Snowflake and modern ELT tools.
Build and manage data ingestion pipelines using Fivetran, Airbyte, or similar integration platforms.
Develop modular, reusable, and well-documented data transformation models using dbt (Data Build Tool).
Design and optimize dimensional data models (Star Schema and Snowflake Schema) for analytics and reporting.
Develop incremental data loading strategies and Change Data Capture (CDC) processes.
Optimize Snowflake performance through clustering, partitioning, query tuning, and warehouse optimization.
Implement data quality checks, validation rules, and monitoring to ensure data accuracy and reliability.
Collaborate with business analysts, data architects, and stakeholders to translate business requirements into technical solutions.
Integrate data from ERP, CRM, eCommerce, finance, and third-party SaaS applications.
Troubleshoot pipeline failures, resolve performance bottlenecks, and support production environments.
Implement CI/CD processes for dbt projects and data pipelines.
Create and maintain technical documentation, data lineage, and metadata.

Requirements

What you’ll need

5+ years of experience in Data Engineering or Data Integration.
Strong hands-on experience with Snowflake.
Proficiency in dbt (Data Build Tool).
Experience with modern ELT/integration platforms such as Fivetran or Airbyte.
Strong SQL skills, including complex joins, CTEs, window functions, stored procedures, and query optimization.
Experience working with structured, semi-structured (JSON, XML), and unstructured data.
Strong understanding of data warehousing concepts and dimensional modeling.
Experience building data pipelines using ELT/ETL methodologies.
Familiarity with Git-based source control and version management.
Experience working in Agile/Scrum environments.

Benefits

Comp & perks

Competitive salary
Flexible work hours
Professional development budget
Home office setup allowance
Global team events