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Analytics Engineer – Data Modeling
Consórcio EmbraconData Engineer designing and implementing data solutions using Databricks techniques at Embracon. Collaborating across teams to standardize and optimize data integration processes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing enterprise data integration layers using Data Vault modeling and Databricks, while ensuring data quality, governance, and compliance. Proficient in SQL and Python for data engineering, with a strong focus on pipeline orchestration and analytical requirements.
Highest-signal resume keywords
SQL Advanced ProficiencyPython for Data EngineeringApache Spark (PySpark)Databricks (Delta Lakehouse, Unity Catalog)Data Vault Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
SQLPythonApache SparkData Vault ModelingDimensional Star SchemaPipeline OrchestrationData Quality PracticesIncremental IngestionData TestingData Governance
Tools & Technologies
DatabricksUnity CatalogCI/CDGit
Industry Keywords
Data IntegrationData NormalizationData LineageInformation SecurityRegulatory ComplianceMedallion Architecture
Tech Stack
Tools & technologiesApachePySparkPythonSparkSQLUnityVault
About the role
Key responsibilities & impact- Design, model, implement and maintain the enterprise data integration layer, primarily the Silver layer on Databricks, using Data Vault modeling (Raw Vault and Business Vault)
- Integrate data from multiple systems, ensuring standardization, deduplication, normalization and traceability of information
- Apply identity resolution techniques across distinct sources to ensure correct unification of entities such as customers, contracts and transactions
- Normalize and standardize analytical attributes, including handling of marketing identifiers and digital channels (e.g., UTM), ensuring consistency for analytical consumption
- Build and maintain unified entities by applying structural business rules and ensuring semantic coherence across domains
- Provide the integrated and semantic data layer as the official source for Business Intelligence consumption, supporting dimensional modeling in the Gold layer
- Collaborate with BI, Data Engineering and business areas to gather analytical requirements and identify information gaps
- Ensure new analytical projects adopt the integrated data layer as the corporate standard from the start
- Implement data quality practices, including validations, automated tests and continuous monitoring
- Document, catalog and maintain data lineage in Unity Catalog, with complete metadata and clear ownership definitions
- Define and maintain naming, semantic and data modeling standards together with the relevant stakeholders
- Orchestrate, monitor and optimize pipelines under your responsibility, ensuring performance, stability, security and cost control
- Work with the company’s Governance function to enforce access policies, information security and regulatory compliance
Requirements
What you’ll need- SQL (Advanced proficiency, including analytical queries, modeling and optimization)
- Python (applied to data engineering and analytics)
- Hands-on experience with Apache Spark (preferably PySpark)
- Experience with Databricks (Delta Lakehouse, notebooks, DLT, Unity Catalog)
- Strong knowledge of data modeling (Data Vault and dimensional star schema)
- Familiarity with the Medallion architecture (Bronze, Silver and Gold layers)
- Experience with incremental ingestion and historical data handling
- Experience with pipeline orchestration and observability (freshness, quality and alerts)
- Desirable: experience with Data Governance and information security applied to data (masking, RBAC/ABAC and LGPD)
- Knowledge of code versioning, Git, CI/CD and data testing
Benefits
Comp & perks- Health, dental and psychological care
- Transportation voucher
- Meal or food allowance
- Partnership with gym and wellness networks
- Life insurance
- Birthday day off
- Quality-of-life programs
- "We’re Expecting!" programs (parental support)
- Recognition programs
- Private pension plan
- Education scholarship
- Student transportation allowance
- Wedding benefit
- 6-month maternity leave
- 20-day paternity leave
- Payroll-deductible loans
- Discounted employee consortium purchases
- PPR (Profit-Sharing Program)
- UCE (Embracon Corporate University)