Senior Databricks Data Engineer — Pipelines & DataOps

Openkrill; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Gym partnerships (Wellhub/TotalPass)

Profit Sharing and Results Particip.,

Life insurance

CI&T University

Discount club

Well-being platform

Parental leave programs

Online learning platforms

Language learning platform

Descripción de la vacante

CI&T is seeking a Senior Data Developer to design and build robust data pipelines across APIs, databases, and files. You will influence data strategy, enforce governance, and collaborate with data scientists, analysts, and platform engineers to deliver scalable solutions.

You will mentor peers, lead DataOps initiatives, and ensure reliability and security of ingested data while aligning with business needs and analytics requirements.

Formación

• Proven experience in building and managing large-scale data pipelines in Databricks.
• Strong Python and SQL for data processing and transformation.
• Knowledge of ETL/ELT, data warehousing, and distributed data processing.

Responsabilidades

• Develop and maintain data pipelines.
• Integrate data from APIs, relational databases, and files.
• Collaborate with business and analytics teams to understand data requirements.
• Ensure quality, reliability, security and governance of ingested data.
• Follow DataOps practices (Git, CI/CD, automated testing).
• Document processes and best practices in data engineering.

Conocimientos

Databricks

Python

SQL

ETL/ELT

DataOps

Git

Cloud platforms

English

Herramientas

Power BI

CI/CD pipelines

Infrastructure as Code

Descripción del empleo

CI&T is seeking a Senior Data Developer to design and build robust data pipelines across APIs, databases, and files. You will influence data strategy, enforce governance, and collaborate with data scientists, analysts, and platform engineers to deliver scalable solutions.

You will mentor peers, lead DataOps initiatives, and ensure reliability and security of ingested data while aligning with business needs and analytics requirements.