Senior Data Engineer (Databricks)

• Minimum of 5 years of experience as a Data Engineer or in a similar role.

• Strong hands-on experience with Databricks and Apache Spark.

• Advanced SQL and Python skills.

• Experience working in cloud environments (Azure preferred).

• Solid understanding of data modeling, ETL/ELT processes, and data architecture concepts.

• Ability to work independently while collaborating with distributed teams.

Responsabilidades: • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.

• Define data architectures that support batch and streaming processing.

• Integrate data from multiple sources, including databases, APIs, and cloud storage.

• Optimize data solutions for performance, reliability, and cost efficiency.

• Collaborate closely with data science, analytics, and business teams.

• Provide technical leadership and guidance on data engineering best practices.

• Translate complex Databricks architectures and data solutions into clear, business-friendly explanations for technical and non-technical audiences.

• Document data architectures, pipelines, and technical decisions.

• Support production systems and troubleshoot data-related issues as needed.

Deseable: • Experience designing enterprise-scale data platforms.

• Experience building, supporting, and scaling production-grade data pipelines in enterprise environments.

• Exposure to analytics, BI, or data science workloads.

• Familiarity with CI/CD practices for data engineering.

• Strong communication skills with both technical and non-technical stakeholders. Any certifications for Databricks or Apache are a plus.

Beneficios: • Competitive salary • Flexible work environment • Opportunities for growth and certifications • Inclusive and collaborative team culture • Access to cutting-edge tools and technologies