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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering, focusing on developing and maintaining data pipelines using Databricks, PySpark, and SQL. Proficient in designing data architectures in Lakehouse environments and ensuring data quality, security, and governance.
Highest-signal resume keywords
Data Engineering ExperienceDatabricks ProficiencyETL/ELT ProcessesData Lake Architecture KnowledgeData Governance Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringDatabricksPySparkSQLETL ProcessesData Lake ArchitectureAnalytical Data ModelingData GovernanceData QualityData Security
Tools & Technologies
Azure Data PlatformAPIsSAPPower BIDatabricks Genie RoomAI/BI GenieMicrosoft Fabric
Industry Keywords
Lakehouse EnvironmentConversational AIVirtual AssistantsIntelligent AgentsDataOps Best Practices
Tech Stack
Tools & technologiesAzureETLPySparkSQL
About the role
Key responsibilities & impact- Develop and maintain data pipelines using Databricks, PySpark, and SQL
- Design and implement data architectures in a Lakehouse environment
- Prepare, transform, and make data available for Conversational AI, Virtual Assistants, and Intelligent Agents projects
- Integrate data from SAP, APIs, databases, and enterprise systems
- Ensure data quality, security, governance, and traceability
- Support AI, Analytics, and Development teams in building data-driven solutions
- Define and promote data engineering and DataOps best practices
- Optimize the performance, scalability, and costs of data solutions
Requirements
What you’ll need- Solid experience in Data Engineering
- Hands-on experience with Databricks
- Experience with ETL/ELT processes
- Knowledge of Data Lake and Lakehouse architecture
- Experience in analytical data modeling
- Knowledge of the Azure Data Platform
- Experience integrating data via APIs and enterprise systems
- Knowledge of data governance, security, and quality
- Preferred: experience building data ecosystems for Virtual Assistants, enterprise Copilots, Intelligent Agents, and Conversational AI solutions
- Preferred: experience with Generative AI projects
- Preferred: knowledge of Retrieval-Augmented Generation (RAG) architecture
- Preferred: experience preparing data for consumption by LLMs and AI agents
- Preferred: experience with Databricks Genie Room (Genie Spaces), AI/BI Genie, or equivalent tools
- Preferred: knowledge of Microsoft Fabric
- Preferred: experience with Power BI
Benefits
Comp & perks- Flash Card with a daily meal or food allowance of BRL 32.00
- Home office allowance of BRL 100.00 per month
- Flexible working hours
- SulAmérica health insurance
- Bradesco dental insurance, with the option to add dependents
- Wellhub, TotalPass, and UniCamente, providing access to physical activities and healthcare professionals
- Onhappy, offering discounts on accommodations, tickets, and experiences
- Guapeco pet health insurance
- Discount and Rewards Club
- Extended maternity and paternity leave
- Life insurance
- Partnership with SESC
- Profit-sharing bonus according to the applicable union agreement
- Birthday day off
- No dress code
- Continuing Education and Training Incentive Program
- Talent Referral Program