La oferta está activa

Senior Bigdata Engineer (Snowflake + Dbt)

3 600 – 4 000 $
Jornada completa3–6 añosRemotoColombia
SoftserveColombia

Sobre este empleo

Requirements

  • Strong experience in Data Engineering, Data Warehousing, or related fields, with 5+ years of professional experience
  • Strong hands-on experience with Snowflake and modern cloud-based data warehouse solutions
  • Advanced SQL skills for working with large-scale datasets and complex data transformations
  • Strong proficiency in Python for data engineering, data transformation, and automation
  • Hands-on experience with dbt for data transformation, modeling, testing, and documentation
  • Solid experience designing and maintaining ETL/ELT pipelines, data models, and ingestion workflows
  • Practical experience with Apache Airflow or similar workflow orchestration technologies
  • Hands-on experience with AWS cloud data platforms and services, plus familiarity with CI/CD, version control, data quality, and production troubleshooting practices
  • Upper-intermediate or higher English proficiency for collaboration with technical and business stakeholders

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines and data warehouse solutions to support reliable analytics and business decision-making
  • Build and optimize data transformations and data models, using Snowflake, dbt, SQL, and Python.
  • Collaborate with technical and business stakeholders to understand requirements and translate them into effective data solutions and high-quality data assets
  • Develop and maintain workflow orchestration using Apache Airflow to support reliable end-to-end data processing
  • Design data models and ingestion frameworks that support large-scale analytical datasets and complex data transformations
  • Implement data quality, validation, and auditing processes across end-to-end data workflows to improve the reliability of data assets
  • Develop and maintain data integration solutions across AWS and Snowflake environments using SQL, Python, and dbt
  • Contribute to CI/CD, testing, troubleshooting, and continuous improvement practices for data engineering solutions in production environments

Some of our benefits

  • 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

SoftServe is a global digital services and consulting company with 30+ years of experience and 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 design and develop scalable data warehouse and ELT solutions to support analytics and business decision-making. You’ll own reliable data workflows and large-scale analytical datasets, collaborating with technical and business stakeholders to deliver high-quality data assets while optimizing performance, data quality, and cost efficiency.

Información del mercado

100% por debajo de la mediana
8 000 000 $

Basado en 399 ofertas con salario para este país

Desglose salarial completo

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¿Qué salario puedo esperar?

El empleador indica 3 600 – 4 000 $ para este puesto en Softserve, Colombia. Como referencia, la mediana local es de unos 8 000 000 $ según 399 ofertas similares.

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¿Estas ofertas están actualizadas?

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¿Dónde ver el tipo de contrato y el formato de trabajo?

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