Senior Data Engineer

Saphialytics; Colombia; A distancia; COP 286.451.000 - 477.418.000; Jornada completa

Descripción de la vacante

Saphialytics is seeking a Senior Data Engineer to join our Data & Analytics practice supporting enterprise clients in the U.S. and Canada. This is a deeply technical role for someone with strong experience designing and operating modern, scalable data platforms.

The ideal candidate has 8+ years of data engineering experience, advanced SQL skills, and hands-on expertise with Azure SQL, Snowflake, Databricks, Python, and PySpark. Collaboration with US/Canada teams in a remote setup is essential.

Formación

• 8+ years of professional Data Engineering experience.
• Advanced SQL skills and strong data modeling fundamentals.
• Experience with Azure SQL Database, Azure SQL Managed Instance, and Microsoft SQL Server.
• Production experience with Snowflake and Databricks.
• Strong experience with Azure Data Factory.
• Hands-on experience with Microsoft Fabric.
• Strong development skills in Python and PySpark.
• Understanding of ETL/ELT, batch processing, incremental loads, orchestration, and large-volume data processing.
• Experience designing data pipelines, lakehouse architectures, and dimensional data models.
• Experience optimizing queries, transformations, partitioning, and distributed workloads.
• Strong understanding of data quality, monitoring, error handling, recovery, security, and production reliability.
• Experience integrating cloud and on-premises data sources, APIs, files, and enterprise systems.
• Experience with Git, CI/CD, code reviews, and structured deployment practices.
• Ability to troubleshoot complex performance and data-quality issues in production.
• Ability to explain and defend technical architecture decisions.
• Experience working in complex enterprise data environments.
• English level C1 or higher.
• Ability to work directly with technical and business stakeholders in the U.S. and Canada.

Conocimientos

Advanced SQL

Data modeling

Azure SQL Database

Azure SQL Managed Instance

Microsoft SQL Server

Informatica

Snowflake

Databricks

Azure Data Factory

Microsoft Fabric

Python

PySpark

ETL/ELT

Data pipelines

Lakehouse architectures

Dimensional data models

Query optimization

Data quality

Monitoring

Security

CI/CD

Git

Herramientas

Git

CI/CD

Descripción del empleo

Remote | Colombia | Full-Time

Saphialytics is looking for a Senior Data Engineer to join our Data & Analytics practice supporting enterprise clients in the U.S. and Canada.

This is a deeply technical role for someone with strong experience designing and operating modern, scalable, and production-ready data platforms.

What we’re looking for

• 8+ years of professional Data Engineering experience
• Advanced SQL skills and strong data modeling fundamentals
• Strong hands‑on experience with Azure SQL Database, Azure SQL Managed Instance, and Microsoft SQL Server
• Solid Enterprise experience with Informatica
• Production experience with Snowflake and Databricks
• Strong experience designing and orchestrating pipelines with Azure Data Factory
• Hands‑on experience with Microsoft Fabric
• Strong development skills in Python and PySpark
• Strong understanding of ETL/ELT, batch processing, incremental loads, orchestration, and large-volume data processing
• Experience designing data pipelines, lakehouse architectures, and dimensional data models
• Experience optimizing queries, transformations, partitioning, and distributed workloads
• Strong understanding of data quality, monitoring, error handling, recovery, security, and production reliability
• Experience integrating cloud and on-premises data sources, APIs, files, and enterprise systems
• Experience with Git, CI/CD, code reviews, and structured deployment practices
• Ability to troubleshoot complex performance and data-quality issues in production
• Ability to explain and defend technical architecture decisions
• Experience working in complex enterprise data environments
• English level C1 or higher
• Ability to work directly with technical and business stakeholders in the U.S. and Canada