Data Engineer, Databricks & Snowflake EDW Ops

Slalom; Bogotá; Hybrid; COP 60,000,000 - 90,000,000; Full time

Job summary

Slalom’s Enhance & Operate team seeks a hands-on Data Engineer to build and improve data pipelines within a modern Databricks and Snowflake EDW ecosystem. You will monitor pipelines, resolve incidents, and implement code enhancements to improve reliability and performance in a service-oriented environment.

You’ll work across regions in an all-shore delivery model, partnering with technical and non-technical stakeholders to drive operational excellence and data quality.

Qualifications

• 2-3 years of data engineering, ETL/ELT development, or production support for data platforms.

Responsibilities

• Build, enhance, and troubleshoot data pipelines and ELT/ETL processes in Databricks and Snowflake.
• Monitor data batch cycles and respond to failures, latency, or data-quality issues.
• Diagnose production incidents and perform root cause analysis with documentation and fixes.
• Drive operational improvements: automation, alert tuning, performance optimization, and reliability enhancements.
• Work within ITIL/ITSM workflows and communicate clearly with technical and business stakeholders.
• Collaborate with regional teams to share context and ensure smooth handoffs.

Skills

SQL

Python

Databricks

Snowflake

ETL/ELT

Tools

dbt

CI/CD

Git

Azure DevOps

ServiceNow

Control-M

Job description

Slalom’s Enhance & Operate team seeks a hands-on Data Engineer to build and improve data pipelines within a modern Databricks and Snowflake EDW ecosystem. You will monitor pipelines, resolve incidents, and implement code enhancements to improve reliability and performance in a service-oriented environment.

You’ll work across regions in an all-shore delivery model, partnering with technical and non-technical stakeholders to drive operational excellence and data quality.