Senior Data Engineer - Azure, Snowflake & Data Lakes

Lever, Inc.; Colombia; Híbrido; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Premium Healthcare

Meal voucher

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Descripción de la vacante

CI&T is seeking a Senior Data Developer to design and implement scalable data solutions for global clients. You will build robust data pipelines in cloud environments, ensure data quality, and govern data assets across the analytics lifecycle.

You will leverage modern data stacks, collaborate with cross-functional teams, and contribute to data lake/warehouse strategies while enforcing governance and CI/CD for ETL processes.

Formación

• Advanced English communication skills.
• Experience working with international clients.
• Strong coding experience with Python.
• Hands-on experience with Snowflake and DBT.
• Experience in Azure cloud environments using SQL and Spark.
• Knowledge of data quality practices and data governance.

Responsabilidades

• Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently.
• Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability.
• Implement and maintain data quality measures throughout the data lifecycle.
• Create and optimize dimensional data models to support analytical needs.
• Develop and maintain Data Lake/Data Warehouse solutions for our clients.
• Implement data governance practices including cataloging and lineage tracking.
• Configure and manage CI/CD pipelines for ETL processes.

Herramientas

Snowflake

DBT

Azure

Apache Airflow

SQL

Python

Data governance

Dimensional data modeling

Descripción del empleo

CI&T is seeking a Senior Data Developer to design and implement scalable data solutions for global clients. You will build robust data pipelines in cloud environments, ensure data quality, and govern data assets across the analytics lifecycle.

You will leverage modern data stacks, collaborate with cross-functional teams, and contribute to data lake/warehouse strategies while enforcing governance and CI/CD for ETL processes.