Data Engineer (Lead) ID41785

AgileEngine; Bogotá; A distancia; COP 374.895.000 - 468.618.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth with mentorship

Competitive USD-based compensation

Flextime and remote options

Flextime Remote

Descripción de la vacante

A leading technology firm in Bogotá seeks a Data Engineer (Lead) to drive large-scale data strategies. This senior role involves building data foundations, developing truth sources for business data, and optimizing data pipelines. Candidates should have over 10 years of experience in SQL and Python, and excellent problem-solving skills. The role offers competitive compensation and flexible working conditions.

Formación

• 10+ years of experience in SQL on Snowflake/cloud platform (AWS preferred).
• 10+ years of experience in Python.
• 10+ years in workflow orchestration and end-to-end data pipelines (Airflow, GitHub, etc.).
• 10+ years in data modeling, warehousing, and ETL/ELT frameworks.
• 10+ years in data monitoring and troubleshooting (preferred).
• Upper-intermediate English.

Responsabilidades

• Build consolidated data foundations and dashboards for workforce analytics.
• Develop single source of truth for business data, ensuring accuracy and consistency.
• Implement and optimize data pipelines, dashboards, and analytics platforms.
• Enable advanced analytics and data science use cases.

Conocimientos

SQL on Snowflake/cloud platform

Python

Workflow orchestration

Data modeling

Data monitoring

Upper-intermediate English

Herramientas

Airflow

GitHub

Snowflake

AWS

Descripción del empleo

Data Engineer (Lead)

AgileEngine, an Inc. 5000 company, invites a senior data engineer to drive large‑scale data strategy and empower millions worldwide.

Responsibilities

• Build consolidated data foundations and dashboards for workforce analytics.
• Develop single source of truth for business data, ensuring accuracy and consistency.
• Implement and optimize data pipelines, dashboards, and analytics platforms.
• Enable advanced analytics and data science use cases, including anomaly detection, recommendation systems, and predictive analytics.

Qualifications

• 10+ years of experience in SQL on Snowflake/cloud platform (AWS preferred).
• 10+ years of experience in Python.
• 10+ years in workflow orchestration and end‑to‑end data pipelines (Airflow, GitHub, etc.).
• 10+ years in data modeling, warehousing, and ETL/ELT frameworks.
• 10+ years in data monitoring and troubleshooting (preferred).
• Upper‑intermediate English.

Nice to Haves

• PMO background.
• Self‑starter and leader of self and teams.
• Strategic analysis leadership with business leaders.
• Exceptional recommendation distillation for technical and non‑technical stakeholders, including senior management.

Benefits

• Professional growth: mentorship, TechTalks, personalized roadmaps.
• Competitive USD‑based compensation and budgets for education, fitness, team activities.
• Exciting projects with Fortune 500 enterprises and leading product brands.
• Flextime and remote options for optimal work‑life balance.