Senior Data Engineer: Snowflake Pipelines & Data Quality

SmartRecruiters, Inc.; Bogotá ciudad; Híbrido; COP 293.026.000 - 455.818.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS & Snowflake Certifications

AI learning paths

Udemy Business access

English lessons

Travel opportunities

Mentoring & Development

Flexible working options

Company equipment

Descripción de la vacante

Blendis is seeking a Senior Data Engineer to design, develop, and optimize data solutions for a high-impact enterprise initiative. You will build reliable, well-structured datasets for analytics and business workflows, working with cross-functional teams to ensure data accuracy and readiness for downstream consumption.

Responsibilities include designing data ingestion architectures in Snowflake, validating data, transforming datasets, and maintaining ETL pipelines.

Formación

• 4+ years of experience in Data Engineering or Data Analytics.
• Strong hands-on experience with Snowflake.
• Experience with data validation, transformation, and normalization.
• Experience building and maintaining ETL pipelines and data ingestion workflows.
• Strong attention to data quality and reliability.

Responsabilidades

• Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
• Lead the design and implementation of data ingestion architectures in Snowflake.
• Apply best practices in data validation to ensure accuracy and reliability.
• Perform data transformation and normalization to support analytics and reporting use cases.
• Work with SQL and Python to process and analyze data at scale.
• Collaborate with stakeholders to translate data requirements into scalable solutions.
• Support ETL processes and data handling workflows for structured and semi-structured data.
• Contribute to documentation and continuous improvement of data processes and standards.

Herramientas

Snowflake

Python

SQL

Descripción del empleo

Blendis is seeking a Senior Data Engineer to design, develop, and optimize data solutions for a high-impact enterprise initiative. You will build reliable, well-structured datasets for analytics and business workflows, working with cross-functional teams to ensure data accuracy and readiness for downstream consumption.

Responsibilities include designing data ingestion architectures in Snowflake, validating data, transforming datasets, and maintaining ETL pipelines.