Senior Data Engineer: Build Scalable ETL Pipelines

MPS Group LLC; Bogotá; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

MPS Group LLC in Bogotá seeks a Senior Data Engineer to design, build, and maintain robust data pipelines that move, transform, and reliably integrate data across enterprise platforms and systems. You will develop scalable solutions to meet business needs and ensure data integrity.

You will work with Python, Snowflake, and Azure Synapse Analytics to extract, transform, and deliver data to downstream systems, collaborate with data analysts, business stakeholders, and technology teams to implement

Formación

• Proficiency in Python for data engineering tasks.
• Experience building robust ETL pipelines.
• Hands-on with Snowflake and Azure Synapse Analytics.
• Strong SQL skills and data transformation knowledge.
• Experience with Pandas, NumPy, or PySpark.
• Ability to work with data governance and quality controls.

Responsabilidades

• Design, build, and maintain data pipelines across enterprise platforms.
• Extract, transform, and load data using Python with Snowflake and Synapse.
• Collaborate with analytics and business teams to understand requirements.
• Monitor performance, troubleshoot bottlenecks, and ensure data quality.
• Document pipeline architecture and transformation rules.
• Ensure secure, compliant data transfer and integration.
• Stay current with data engineering best practices.

Conocimientos

Python

ETL pipelines

SQL

Data governance

Data quality

Collaboration

Large-scale data

Troubleshooting

Herramientas

Snowflake

Azure Synapse Analytics

Pandas

NumPy

PySpark

Descripción del empleo

MPS Group LLC in Bogotá seeks a Senior Data Engineer to design, build, and maintain robust data pipelines that move, transform, and reliably integrate data across enterprise platforms and systems. You will develop scalable solutions to meet business needs and ensure data integrity.

You will work with Python, Snowflake, and Azure Synapse Analytics to extract, transform, and deliver data to downstream systems, collaborate with data analysts, business stakeholders, and technology teams to implement