Remote Azure Data Engineer – Databricks & Spark Expert

Golabs Tech; México; Remote; MXN 1,629,000 - 2,534,000; Full time

Benefits offered by this job

100% Remote

12 PTO days per year

Local holidays in country

Job summary

Golabs Tech is seeking an Azure Data Engineer to join a team building and modernizing enterprise-scale data platforms. You will develop scalable data pipelines, data models, and lakehouse solutions using Databricks, Apache Spark, Python, and SQL.

You0ll work with data architects, analytics teams, product managers, and business stakeholders to deliver reliable data solutions that support reporting, analytics, AI, and operational decision-making.

Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field.
• 5a0 years of experience in Data Engineering, Data Warehousing, or Big Data development.
• 3+ years of hands-on experience with Databricks and Apache Spark.
• Strong experience with data modeling and enterprise data structures.
• Advanced proficiency in PySpark, Python, Spark SQL, and SQL.
• Hands-on experience with the Databricks Lakehouse Platform and Delta Lake.
• Experience with Unity Catalog, Databricks Workflows, and Structured Streaming.

Responsibilities

• Design, develop, and maintain scalable batch and streaming data pipelines using Databricks and Apache Spark.
• Build ETL/ELT pipelines using PySpark, Spark SQL, Delta Lake, Python, and SQL.
• Develop enterprise data models and business-ready datasets for analytics and reporting.
• Implement Bronze, Silver, and Gold layers using Medallion Architecture.
• Work with data from ERP, manufacturing, supply chain, CRM, IoT, and other enterprise systems.
• Optimize Spark jobs and data models for performance, scalability, and cost efficiency.
• Contribute to data quality, lineage, monitoring, testing, and CI/CD practices.
• Help modernize legacy data pipelines and platforms onto Databricks.
• Collaborate with technical and business stakeholders to translate requirements into scalable data solutions.
• Promote engineering best practices and contribute to a culture of quality and continuous improvement.

Skills

PySpark

Python

Spark SQL

SQL

Data modeling

Data pipelines

Stakeholder management

Education

Bachelors or Masters degree in CS/Engineering or related

Tools

Databricks

Apache Spark

Delta Lake

Databricks Lakehouse Platform

Unity Catalog

Databricks Workflows

Delta Live Tables

Job description

Golabs Tech is seeking an Azure Data Engineer to join a team building and modernizing enterprise-scale data platforms. You will develop scalable data pipelines, data models, and lakehouse solutions using Databricks, Apache Spark, Python, and SQL.

You0ll work with data architects, analytics teams, product managers, and business stakeholders to deliver reliable data solutions that support reporting, analytics, AI, and operational decision-making.