Sr. Data Engineer

Job Description

• Skill Set :

  azure databricks

• Total Experience :

  5.00 to 7.00 Years

• No of Openings :

  1

• Job Post Date :

  05/11/2026

• Job Expiry Date :

  06/12/2026

• Domain :

  IT

• Location :

  MEXICO CITY [Mexico]

• Job Reference No :

  4116634

Job Summary

Job Summary:

We are seeking a skilled Data Engineer with a strong background in Azure Databricks to join our dynamic team. The ideal candidate will have 5 7 years of experience in data engineering, with a proven track record of designing, building, and maintaining scalable data pipelines and data solutions. This role is crucial for enabling data driven decision making across the organization.

Responsibilities:

• Design, develop, and maintain robust data pipelines using Azure Databricks.
• Collaborate with data scientists and analysts to understand data requirements and deliver high quality data solutions.
• Implement data ingestion processes from various sources into Azure Databricks.
• Optimize data processing workflows for performance and scalability.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Monitor and troubleshoot data pipeline performance issues.
• Document data engineering processes and maintain clear communication with stakeholders.
• Stay updated with the latest trends and technologies in data engineering and Azure Databricks.

Mandatory Skills:

• Strong expertise in Azure Databricks, including Spark and Delta Lake.
• Proficient in programming languages such as Python or Scala.
• Experience with data modeling and ETL processes.
• Solid understanding of data warehousing concepts and technologies.
• Familiarity with Azure cloud services, including Azure Data Lake Storage and Azure SQL Database.
• Ability to work with large datasets and perform data transformations efficiently.

Preferred Skills:

• Experience with data visualization tools such as Power BI or Tableau.
• Knowledge of machine learning concepts and frameworks.
• Familiarity with CI/CD practices for data engineering.
• Experience with containerization technologies like Docker.
• Understanding of data governance and compliance standards.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5 7 years of experience in data engineering or a related role.
• Strong analytical and problem solving skills.
• Excellent communication and collaboration abilities.
• Proven ability to work independently and manage multiple tasks effectively.

If you are passionate about data engineering and possess the required skills, we encourage you to apply and join our innovative team!