Eng de Dados Sr - Certificado Databricks

Accountabilities: Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and orchestration tools.

Build robust data ingestion, transformation, and processing workflows for large-scale datasets.

Create and optimize data models to support business intelligence and analytics initiatives.

Ensure data quality, governance, security, and compliance across the data ecosystem.

Manage and optimize Databricks environments, including clusters, jobs, workspaces, and related resources.

Develop cloud-native data solutions across platforms such as Azure, AWS, or Google Cloud.

Collaborate closely with engineering, analytics, and business teams to deliver reliable and efficient data solutions.

Contribute to architectural decisions and promote best practices in data engineering and platform management.

Requirements

Proven experience as a Senior Data Engineer working with Databricks in enterprise environments.

Databricks certification is required.

Strong proficiency in SQL across relational database platforms such as SQL Server, PostgreSQL, MySQL, or Oracle.

Experience with Python, Scala, R, or another programming language used in data engineering.

Hands-on expertise with Apache Spark and distributed data processing frameworks.

Solid knowledge of cloud platforms, including Azure, AWS, or Google Cloud Platform.

Experience implementing CI/CD pipelines, source code versioning, and modern development practices.

Knowledge of data governance, data quality, and enterprise data architecture standards.

Experience with data orchestration tools such as Azure Data Factory, Apache Airflow, or similar platforms.

Strong background in data modeling for BI and analytics solutions.

Familiarity with Databricks administration, including Unity Catalog, clusters, jobs, and workspace management, is a plus.

Experience with data science, machine learning projects, visualization tools, or Azure certifications is considered an advantage.

Strong communication, teamwork, analytical thinking, and problem-solving skills.

Benefits

iFood meal and food allowance.

Home office allowance.

Health insurance.

Dental insurance.

Birthday day off.

Life insurance.

Extended maternity and paternity leave.

Educational partnerships.

TotalPass wellness partnership.

Clude Saúde partnership.

Reimbursement programs.

Flexible working hours.

Casual dress code.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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