Data Engineer (Databricks)

Wizeline; Colombia; Sur place; COP 100 440 000 - 167 400 000; Plein temps

Avantages offerts par ce poste

High-Impact Environment

Professional Development

Flexible and Collaborative Culture

Global Opportunities

Vibrant Community

Total Rewards

Résumé du poste

Wizeline is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and data architectures. You will implement ETL/ELT processes, develop integration workflows across multiple sources, and ensure data quality and governance.

Collaboration with engineers and data consumers will be key to aligning workflows with business needs. Strong SQL skills, cloud experience (Azure, Databricks), and a solid grasp of data modeling are essential.

Qualifications

• At least 4 years of professional experience as a Data Engineer.
• Experience designing, building, and maintaining scalable data pipelines and ETL/ELT processes.
• Experience with data integration across multiple data sources.
• Experience designing, optimizing, and maintaining data architectures and pipelines.
• Experience with relational and non-relational databases and data governance.

Responsabilités

• Design, develop, and maintain scalable data pipelines using ETL/ELT processes.
• Develop data integration workflows to meet operational business needs.
• Write robust SQL queries to extract, transform, and load data from multiple sources.
• Design, optimize, and maintain data warehouses and data lakes.
• Support stream and batch data processing workflows.
• Work with relational and non-relational databases, ensuring efficient design and optimization.
• Apply data modeling techniques to support data consumption and analytics requirements.
• Ensure data quality, consistency, and governance compliance.
• Collaborate with software engineers and data consumers to align data integration workflows with business needs.
• Apply version control and CI/CD principles to support reliable data development and deployment.

Connaissances

ETL/ELT pipelines

SQL

Data pipeline design

Data integration

Cloud infrastructure

Azure

Databricks

CI/CD

Data governance

Data modeling

Database design

Description du poste

We Are Wizeline, a global AI-native technology solutions provider, develops cutting-edge,

impact.

Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

We Are Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using ETL/ELT processes.
• Develop and implement data integration workflows to meet operational business needs.
• Write robust scripts and complex SQL queries to extract, transform, and load data from multiple sources.
• Design, optimize, and maintain data pipelines and architectures, ensuring data accessibility, cleanliness, and reliability.
• Contribute to the design and implementation of data warehouse architectures and data lakes.
• Support stream and batch data processing workflows.
• Work with relational and non-relational databases, ensuring efficient design and optimization.
• Apply data modeling techniques to support data consumption and analytics requirements.
• Ensure data quality, consistency, and compliance with data governance and security practices.
• Collaborate with software engineers and data consumers to align data integration workflows with business needs.
• Apply version control and CI/CD principles to support reliable data development and deployment.

Must-have Skills

• At least 4 years of professional experience as a Data Engineer.
• Proven experience designing, building, and maintaining scalable data pipelines and ETL/ELT processes.
• Experience developing data integration workflows and working with multiple data sources.
• Experience designing, optimizing, and maintaining data architectures and pipelines.
• Experience with relational and non-relational database design and optimization.
• Experience with data pipeline orchestration and workflow management.
• Experience with cloud infrastructure and data security and governance best practices.
• Advanced SQL.
• Azure and Databricks.
• Data processing using batch and stream processing paradigms.
• Version control and CI/CD principles.
• Data quality, consistency, and reliability practices.

Nice-to-have

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

What We Offer

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards
• Specific benefits are determined by the employment type and location.

Find out more about our culture here.