Senior Data Engineer — Snowflake, dbt & Airflow

SoftServe Inc.; Colombia; Híbrido; COP 120.000.000 - 240.000.000; Jornada completa

Descripción de la vacante

SoftServe Inc. is seeking a senior data engineer to design and develop scalable data warehouse and ELT solutions that support analytics and business decision-making. You will own reliable data workflows and large-scale analytical datasets focused on performance, data quality, and cost efficiency.

You will work with Snowflake, dbt, SQL, Python, and Airflow to deliver high-quality data assets, collaborate with stakeholders, and contribute to CI/CD practices within a cloud environment.

Formación

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

Responsabilidades

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

Conocimientos

Snowflake

SQL

Python

dbt

ETL/ELT

Airflow

AWS

CI/CD

Data Warehousing

English

Herramientas

Snowflake

dbt

Apache Airflow

AWS

Descripción del empleo

SoftServe Inc. is seeking a senior data engineer to design and develop scalable data warehouse and ELT solutions that support analytics and business decision-making. You will own reliable data workflows and large-scale analytical datasets focused on performance, data quality, and cost efficiency.

You will work with Snowflake, dbt, SQL, Python, and Airflow to deliver high-quality data assets, collaborate with stakeholders, and contribute to CI/CD practices within a cloud environment.