Postúlate en Kit Empleo: kitempleo.com.co/empleo/1asp21

**Responsibilities**:

- Collect and manage large volumes of varied data sets;
- Work directly with Data Scientists and ML Engineers to create robust and resilient data pipelines that feed Data Products;
- Define data models that integrate disparate data across the organization;
- Design, implement, and maintain ETL pipelines;
- Develop and continuously test data-driven solutions.

**Requirements**:

- 3+ years of experience in data engineering;
- Experience working with Cloud Solutions (preferably AWS, also GCP or Azure);
- Experience with Cloud Data Platforms (e.g., Snowflake, Databricks);
- Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation;
- Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.;




- Proficiency in programming languages relevant to data engineering such as Python and SQL;
- Experience in building scalable APIs;
- Experience in building Generative AI Applications (e.g., chatbots, RAG systems);
- Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization;
- Advanced or Fluent English skills;
- Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.

**Nice to Have**:

- Relevant AWS, GCP, Azure, Databricks certifications;
- Knowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.);
- Experience in building Data Solutions in a Data Mesh architecture;
- Familiarity with classical Machine Learning tasks and tools (e.g., OCR, AWS SageMaker, MLFlow, etc.).

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1asp21

📌 Middle Data Engineer (Colombia)
🏢 Provectus
📍 Colombia