About the Role

We are looking for a Data Engineer to join the Enterprise Data Management team and help build revenue-generating enterprise data solutions. In this role, you will leverage SQL Server, SSIS, Python, and Databricks to design, develop, optimize, and maintain scalable data environments that support business-critical operations and analytics.

You will collaborate with technical and business stakeholders to transform requirements into high-quality data solutions while ensuring reliability, performance, and scalability across database and cloud-based environments.

What You'll Do

- Partner with business and technical teams to understand functional and technical requirements.
- Design, develop, and maintain complex SQL stored procedures and functions.
- Optimize existing stored procedures, tables, indexes, and database performance.
- Troubleshoot, repair, and tune database environments alongside engineering teams.
- Review SQL code developed by peers to ensure coding standards and performance best practices.
- Develop and maintain SSIS packages for data transformation, cleansing, aggregation, staging, and transfers.
- Support production data loads and ongoing database refresh processes.
- Perform data analysis and profiling to support design and development decisions.
- Define data flow requirements and maintain system documentation.
- Create and execute data validation and unit testing processes to ensure data quality.
- Implement enhancements and resolve production issues as needed.




- Contribute to scalable cloud-based data solutions utilizing Databricks and modern data platforms.

Required Qualifications

- Bachelor's degree in a related field or equivalent professional experience.
- 3+ years of experience working with relational databases in production environments.
- 3+ years of experience with Microsoft SQL Server.
- 3+ years of experience building and supporting SSIS packages.
- 2+ years of experience working within Agile/Scrum environments.
- Experience in SQL performance tuning and optimization.
- Experience delivering high-quality, scalable database solutions.
- Strong understanding of data warehousing concepts, data transformations, and analytics.
- Experience working with distributed applications and cloud-based data platforms.
- Hands-on experience with Databricks.
- Experience using Python for data engineering activities.

Preferred Qualifications

- Experience working with AWS-based data environments.
- Experience supporting enterprise-scale data platforms.

Technical Environment

- Microsoft SQL Server
- SSIS
- Python
- Databricks
- AWS
- Data Warehousing
- SQL Performance Tuning
- Agile/Scrum

Core Competencies

- Problem solving
- Analytical thinking
- Attention to detail
- Collaboration
- Communication
- Continuous improvement

Why Join Us

This opportunity offers the chance to work on enterprise-scale data initiatives that directly influence business outcomes. You'll collaborate with cross-functional teams, optimize critical data systems, and help build modern data solutions using cloud technologies and Databricks.

📌 Data Engineer (SQL Server, SSIS, Python & Databricks) (México)
🏢 Unosquare
📍 México