Job Summary

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

- Design, build, and maintain end-to-end data pipelines using

Databricks

(Spark, Delta Lake, notebooks, jobs, and workflows).

- 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)
🏢 EXL
📍 Bogotá