Mid-Level Data Developer — Databricks-Driven Pipelines

OpenKrill; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellhub/TotalPass gym Partnerships

Profit Sharing and Results Particip.

Life insurance

CI&T University

Discount club

Well-being platform access

Pregnancy and parenting courses

Online learning platform partnerships

Language learning platform

Job summary

CI&T is growing fast and seeking a talented, motivated Mid-level Data Developer to join our team. You'll design, develop, and maintain scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our global clients.

You will collaborate with cross-functional teams to ensure data integrity, implement data quality gates, and build CI/CD pipelines for ETL processes, Spark, Python, and SQL workloads.

Qualifications

• Advanced English (reading, writing, and speaking).
• Proven experience working with modern data engineering stacks in the cloud.
• Experience with the Databricks platform is a must-have for this position.
• Previous experience with Spark, Python, and SQL. Experience with CI/CD pipelines for ETL processes.
• Expertise in dimensional data modeling.
• Experience with Data Lake/Data Warehouse implementations.

Responsibilities

• Develop and maintain scalable data pipelines and infrastructure.
• Collaborate with cross-functional teams to ensure data integrity and usability.
• Document data workflows, processes, and architectures.
• Integrate data quality into data pipelines.
• Develop CI/CD pipelines for ETL processes.
• Provide technical support and troubleshooting for data-related issues.

Skills

Databricks

Spark

Python

SQL

CI/CD

Dimensional data modeling

Data Lake/Data Warehouse

Cloud data engineering

Tools

Databricks platform

Job description

CI&T is growing fast and seeking a talented, motivated Mid-level Data Developer to join our team. You'll design, develop, and maintain scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our global clients.

You will collaborate with cross-functional teams to ensure data integrity, implement data quality gates, and build CI/CD pipelines for ETL processes, Spark, Python, and SQL workloads.