Senior Databricks Data Engineer - Lakehouse (Remote)

AgileEngine; Puebla de Zaragoza; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines using PySpark and Delta Lake, following a medallion architecture for analytics, reporting, and ML consumers.

You will migrate legacy workloads, leverage AI tools like Claude and Copilot, and ensure data quality through governance and automated checks. Strong SQL/Python, and cloud data architecture experience are essential.

Formación

• 4+ years of professional experience in data engineering.
• Direct expertise with Apache Spark and cloud-based data architectures.
• Hands-on experience building data pipelines with Databricks, Spark (PySpark), and Delta Lake.
• Advanced SQL and Python with data modeling across dimensional and Lakehouse patterns.
• Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
• Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
• Experience with legacy platform migrations or ETL modernization.
• Strong problem-solving, collaboration, and communication skills.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion architecture serving analytics, reporting, and ML consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity.
• Use Claude or Github Copilot to accelerate development and testing.
• Write clean Python and SQL; ensure high quality via code reviews and tests.
• Optimize Spark jobs and Delta tables for performance and cost.
• Implement data quality, lineage, governance with Unity Catalog and automated checks.
• Debug, troubleshoot, and resolve pipeline failures and production incidents.
• Collaborate with DevOps, platform, and analytics engineers on observability and security.

Conocimientos

Databricks

Apache Spark (PySpark)

Delta Lake

SQL

Python

Data Modeling

Batch & Streaming Pipelines

Cloud Data Architectures

Herramientas

Databricks Workflows

Airflow

Azure Data Factory

dbt

GitHub Copilot

Unity Catalog

Kubernetes

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines using PySpark and Delta Lake, following a medallion architecture for analytics, reporting, and ML consumers.

You will migrate legacy workloads, leverage AI tools like Claude and Copilot, and ensure data quality through governance and automated checks. Strong SQL/Python, and cloud data architecture experience are essential.