We are looking for a Senior Data Engineer with 5 to 10 years of experience working in data environments. The idóneo candidate has strong hands-on experience with Databricks and its ecosystem , solid cloud knowledge , and the ability to design, build, and maintain scalable data solutions. This role requires an advanced level of English , as it involves collaboration with global teams and stakeholders.
Key Responsibilities
- Develop and optimize ETL/ELT processes to support analytics and business use cases.
- Work with structured and semi-structured data at scale.
- Collaborate with data architects, analysts, and business teams to translate requirements into technical solutions.
- Ensure data quality, performance, security, and reliability across platforms.
- Support cloud-based data architectures and best practices.
- Participate in code reviews, documentation, and knowledge sharing within the team.

Required Qualifications
- 4-6 years of experience as a Data Engineer or in similar data-focused roles.




- Strong hands-on experience with Snowflake and its full ecosystem.
- Solid experience working with cloud platforms (AWS, Azure, or GCP).
- Strong programming and data processing skills (Python, SQL, and Spark).
- Experience building scalable and reliable data pipelines.
- Advanced English level (spoken and written).

Nice to Have / Plus (Not Mandatory)
- Experience with dbt for data transformation and modeling.
- Hands-on knowledge of Databricks .
- Experience working with AWS, Azure, and/or GCP in production environments.
- Infrastructure as Code experience using Terraform .
- Familiarity with data governance, security, and best practices.

Soft Skills
- Strong problem-solving and analytical skills.
- Ability to work independently and in collaborative, cross-functional teams.
- Good communication skills and ownership mindset.
- Adaptable and comfortable working in dynamic environments.

📌 Ingeniero de Datos Senior (Bogotá, D.C.)
🏢 EXL
📍 Bogotá, D.C.