Key Responsibilities

- Design, develop, and automate scalable ETL/ELT pipelines for data warehouse, data lake, and lakehouse environments using technologies such as Azure Databricks, Apache Spark, Python, and SQL.
- Modernize existing data integration processes and build cloud-native pipelines using Databricks, Delta Lake, Azure Data Factory, or similar technologies.
- Partner with business and technical stakeholders to translate business needs into well-designed data products, platforms, and engineering solutions.
- Develop scalable data architectures and reusable data models to support enterprise applications, business intelligence, advanced analytics, and AI/ML use cases.
- Collaborate with BI and analytics teams to deliver trusted, analytics-ready datasets and enhance reporting environments using tools such as Power BI or similar platforms.
- Implement data quality, automated testing, documentation, metadata, lineage, security, and governance practices using capabilities such as Unity Catalog or equivalent frameworks.
- Work with DevOps teams to establish source control, CI/CD, and Test-Driven Development practices using GitHub, Azure DevOps, GitHub Actions, or comparable tools.
- Continuously optimize platform performance, scalability, reliability, operational efficiency, and cloud costs.

Required Qualifications

- Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related discipline.
- 4+ years of relevant data engineering experience with Azure Databricks, PySpark, SQL, Delta Lake, and Unity Catalog or similar technologies.
- Strong experience in building scalable ETL/ELT pipelines, data models, data warehouses, data lakes, and lakehouse solutions.
- Advanced Python and SQL skills,



with knowledge of distributed data processing, performance optimization, and data quality frameworks.
- Experience with GitHub-based source control, CI/CD, automated testing, and Test-Driven Development using Azure DevOps, GitHub Actions, or equivalent tools.
- Understanding of modern data architecture, metadata, documentation, lineage, security, and governance practices.
- Experience using AI-assisted development tools such as Cursor, Claude, GitHub Copilot, or similar solutions.
- Strong problem-solving, communication, and stakeholder management skills.

Why Join Evalueserve?

Evalueserve is a general leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting-edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI.

We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility.



Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.

This job offer complies with Chilean Law No. 21.015, which promotes the inclusion of people with disabilities in the workforce. In accordance with this law, we are committed to fostering an inclusive work environment. If you require any reasonable accommodation to participate in the application process or to perform the essential functions of the role, please let us know. We are committed to providing the necessary support to ensure a fair and accessible process.

Disclaimer:

- The above serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
- We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.
- During the screening process, we do not request any IDs, banking details, or any payments. Personal details and documents are only collected after employment has been confirmed and for onboarding purposes. All legitimate opportunities appear at https://www.evalueserve.com/jobs/. Contact us at [email protected] for any questions or to report suspicious activity.

📌 Data Engineer - Databricks (Colombia)
🏢 Evalueserve
📍 Colombia