Ingeniero de Datos Senior

EXL; Bogotá ciudad; Vor Ort; COP 133.920.000 - 200.880.000; Vollzeit

Benefits dieser Stelle

Restaurant (not specified)

Zusammenfassung

EXL is seeking a Senior Data Engineer in Bogotá, Colombia who brings 5–10 years of data engineering experience and a hands-on command of Databricks and its ecosystem. You will design, build, and maintain scalable data solutions in a cloud environment, collaborating with global teams to deliver analytics-ready data.

The ideal candidate has strong Python, SQL, Spark skills, and experience with Snowflake, dbt, and Terraform.

Qualifikationen

• 4-6 years of experience as a Data Engineer or similar data-focused role.
• Strong hands-on experience with Snowflake and its full ecosystem.
• Solid experience 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).

Aufgaben

• 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.

Kenntnisse

Databricks

Cloud platforms

Python

SQL

Spark

English

Data pipelines

ETL/ELT

Team collaboration

Tools

Snowflake

dbt

Terraform

Jobbeschreibung

We are looking for a Senior Data Engineer with 5 to 10 years of experience working in data environments. The ideal 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.