Senior Data Engineer (Snowflake + GCP)

Teletrabajo; Chile; Remote; CLP 48,876,000 - 107,527,000; Full time

Benefits offered by this job

SoftServe University

Medical insurance

Food vouchers

Extra days off

Dare to Care

Anniversary Program

Job summary

SoftServe is a global digital services and consulting company with over 30 years of experience and a Data & Analytics CoE that builds data pipelines on Snowflake, GCP, and Salesforce.

As part of the GTM data platform team, you will own ETL/ELT workflows, ensure data quality, and collaborate with engineering, product, and business stakeholders.

This remote, full-time role supports Latin America operations from Chile and Colombia, with opportunities for learning and career growth.

Qualifications

• Strong experience with SQL and Snowflake for data transformation, modeling, and analytics.
• Advanced proficiency in Python for data processing and transformation workflows.
• Hands-on experience building ETL/ELT pipelines using dbt, Airflow, or similar data engineering tools.
• Practical experience with GCP or AWS data platforms and cloud-based data engineering solutions.
• Solid understanding of CRM data models, including leads, contacts, accounts, and opportunities.
• Exposure to Salesforce SOQL, Salesforce Data Cloud, or Salesforce data models (as a plus).
• Familiarity with data enrichment platforms such as ZoomInfo, Dun & Bradstreet (D&B), or similar solutions (as an advantage).

Responsibilities

• Build and optimize scalable data pipelines across Snowflake, GCP, and Salesforce Data Cloud to support GTM operations.
• Own the development and maintenance of reliable ETL/ELT workflows, ensuring data availability, quality, and efficient processing.
• Collaborate with engineers, Product Managers, and business stakeholders to translate GTM requirements into practical data solutions.
• Model and maintain data assets covering advertiser identity, lead enrichment, revenue, customer, and CRM data.
• Develop and optimize SQL queries for data transformation, reporting, analytics, and downstream consumption.
• Implement data quality controls, validation processes, and schema consistency across GTM data marts.
• Support ongoing platform enhancements, troubleshooting, and optimization to improve reliability and performance.

Skills

SQL

Snowflake

Python

dbt

Airflow

GCP

AWS

CRM data models

Salesforce SOQL

Salesforce Data Cloud

Data enrichment platforms

Tools

dbt

Airflow

Job description

Detalles consultados el 09-11-2026. La disponibilidad final se confirma al postular.

Modalidad Remoto

Desde dónde Chile , Colombia

Sueldo publicado No publicado

Dedicación Tiempo completo

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Idioma original: English. Se conserva su redacción y las condiciones publicadas.

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Idioma original: English. Se conserva su redacción y las condiciones publicadas.

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Sobre el cargo

• SoftServe is a global digital services and consulting company with over 30 years of experience and more than 11,000 professionals across 16 countries, helping businesses worldwide solve complex challenges through technology.
• Our Data & Analytics Center of Excellence (CoE) brings together data specialists to drive excellence in data, analytics, and business intelligence. We deliver solutions across Data Strategy & Governance, Data Platform Engineering, Data Migration, and Reporting & BI.
• In this role, you’ll contribute to the data platform powering a client’s Go-To-Market (GTM) revenue operations, supporting lead routing, advertiser identity, campaign segmentation, and sales tooling. You’ll build scalable data pipelines and reliable data assets using Snowflake, GCP, and Salesforce, collaborating closely with engineering, product, and business teams.

Qué harás

• Build and optimize scalable data pipelines across Snowflake, GCP, and Salesforce Data Cloud to support GTM operations
• Own the development and maintenance of reliable ETL/ELT workflows, ensuring data availability, quality, and efficient processing
• Collaborate with engineers, Product Managers, and business stakeholders to translate GTM requirements into practical data solutions
• Model and maintain data assets covering advertiser identity, lead enrichment, revenue, customer, and CRM data
• Develop and optimize SQL queries for data transformation, reporting, analytics, and downstream consumption
• Implement data quality controls, validation processes, and schema consistency across GTM data marts
• Support ongoing platform enhancements, troubleshooting, and optimization to improve reliability and performance

Qué pide la empresa

• Requirements
• Strong experience with SQL and Snowflake for data transformation, modeling, and analytics
• Advanced proficiency in Python for data processing and transformation workflows
• Hands-on experience building ETL/ELT pipelines using dbt, Airflow, or similar data engineering tools
• Practical experience with GCP or AWS data platforms and cloud-based data engineering solutions
• Solid understanding of CRM data models, including leads, contacts, accounts, and opportunities
• Exposure to Salesforce SOQL, Salesforce Data Cloud, or Salesforce data models (as a plus)
• Familiarity with data enrichment platforms such as ZoomInfo, Dun & Bradstreet (D&B), or similar solutions (as an advantage)

Condiciones y beneficios publicados

• SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career
• Medical insurance: Health coverage for you and your family
• Food vouchers: Additional support for your everyday expenses
• Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work-life balance
• Dare to Care: Our holistic well-being program, designed to support your overall wellness
• Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

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