Data Engineer – Databricks

Avanade

Data Engineer leading strategic initiatives in data platform at Avanade. Focusing on data modeling, organization, and accessibility for analysis and decision-making.

Posted 7/21/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data pipelines and data modeling standards within GCP environments, ensuring data quality, governance, and compliance. Proficient in utilizing advanced data processing tools and techniques to support business intelligence and data consumption needs.

Highest-signal resume keywords

Data ModelingSQL SkillsGCP ProficiencyPython and Spark ExperienceData Visualization with Power BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignRelational and Dimensional Data ModelingBigQueryDataflowDataprocPub/SubCloud StorageComposerData GovernanceData Quality Assurance

Soft Skills

CollaborationCommunication

Tools & Technologies

Google Cloud PlatformPower BICI/CD PracticesData Visualization Tools

Industry Keywords

Data LakeData WarehouseData MartData MeshLakehouseStreaming SolutionsStar SchemaSnowflakeData Vault

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSparkSQLVault

About the role

Key responsibilities & impact

Design and implement efficient, scalable data pipelines aligned with business needs.
Develop and maintain data ingestion and transformation pipelines in Google Cloud Platform (GCP) environments.
Build solutions for Data Lake, Data Warehouse and Data Mart.
Define and apply relational and dimensional data modeling standards with a focus on performance, scalability and usability.
Translate business requirements into clear, consistent and sustainable data models.
Support data consumption through Business Intelligence tools, ensuring semantic quality and query performance.
Ensure data quality, governance, security and compliance throughout the data lifecycle.
Monitor and optimize cloud environment costs and performance.
Collaborate with multidisciplinary teams to promote data engineering and architecture best practices.

Requirements

What you’ll need

Advanced experience in conceptual, logical and physical data modeling, especially in analytical environments.
Strong SQL skills and best practices for Data Warehouse design and BigQuery.
Experience with Python and Spark for data processing.
Proficiency in the GCP ecosystem, including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage and Composer.
Experience with data visualization tools, especially Power BI, including semantic modeling, performance and data consumption.
Familiarity with CI/CD practices, code versioning and pipeline automation.
Knowledge of modern data architectures such as Data Mesh, Lakehouse and streaming solutions.
Experience with different data modeling approaches such as Star Schema, Snowflake and Data Vault.
Experience in scalable, governance-oriented data environments.

Benefits

Comp & perks

Meal allowance or meal voucher
Multi-benefits card (up to Senior Consultant)
Health and dental insurance
Certifications and training
Life insurance
Private pension plan
Avababy: pregnancy support and a starter kit for new parents
Profit-sharing in company results
Wellhub
Childcare assistance
Career mentoring
Birthday Off policy (one day off during your birthday month)
Wellness sessions
For managerial positions: company vehicle, parking and fuel allowance