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Omie

Senior Analytics Engineer

Omie

. Structure and evolve the corporate analytics layer, transforming platform data into reliable, organized, metric-driven assets.

Posted 11/6/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing data pipelines using Python and SQL, while ensuring data integrity and consistency across analytical models. Capable of transforming data into strategic assets through effective data modeling and collaboration with cross-functional teams.

Highest-signal resume keywords
Analytics EngineeringData Pipeline DevelopmentBig Data ConceptsPerformance OptimizationData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLData ModelingPerformance OptimizationQuery TuningDimensional ModelingBatch ProcessingReal-Time ProcessingData GovernanceMetric Definition
Soft Skills
CommunicationTechnical LeadershipMultidisciplinary CollaborationAnalytical ThinkingProactive Problem Solving
Tools & Technologies
RedshiftSparkGitCI/CDDataOpsDevOps
Industry Keywords
Data EngineeringAnalyticsBusiness IntelligenceData MaturityAI Initiatives

Tech Stack

Tools & technologies
Amazon RedshiftPythonSparkSQL

About the role

Key responsibilities & impact
  • Structure and evolve the corporate analytics layer, transforming platform data into reliable, organized, metric-driven assets.
  • Develop and enhance dimensional and metric-driven models, including facts, dimensions, and analytical aggregations.
  • Structure and standardize corporate KPIs, ensuring unique and consistent definitions across teams.
  • Build data marts aligned with business domains.
  • Define and maintain a semantic layer for consumption by BI tools and analytical applications.
  • Document business rules and metric calculations clearly and in an auditable manner.
  • Design and evolve data products based on certified metrics.
  • Create analytical datasets for BI, internal systems, and automations.
  • Structure reliable data foundations for AI initiatives and predictive models.
  • Transform recurring manual analyses into scalable solutions.
  • Work with business teams to design data-driven solutions.
  • Implement quality tests in the analytics layer.
  • Ensure metric traceability and consistency.
  • Manage versioning and the evolution of analytical models.
  • Ensure suitable performance for analytical consumption.
  • Contribute to the standardization and governance of indicator definitions.
  • Work closely with Product, Operations, and Finance to define strategic metrics.
  • Serve as a technical reference in analytical modeling.
  • Increase the organization's data maturity.
  • Identify opportunities to transform data into new products and analytical solutions.
  • Eliminate metric discrepancies, create reusable assets, enable AI initiatives, reduce analytical rework, and position data as a strategic pillar of the company.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Proven experience as an Analytics Engineer or Data Engineer.
  • Proficiency in Python and SQL for developing and optimizing data pipelines.
  • Strong knowledge of distributed Big Data concepts and practices, including batch and real-time processing.
  • Experience with performance optimization and query tuning in Redshift and Spark environments.
  • Knowledge of relational, dimensional, and lakehouse data modeling.
  • Familiarity with Git, CI/CD, and DataOps/DevOps practices.
  • Excellent communication, technical leadership, and multidisciplinary collaboration skills.
  • Analytical, proactive, and results-oriented profile, with a strong commitment to technical excellence.

Benefits

Comp & perks
  • Dental Plan | Amil Dental
  • Health Plan | Bradesco Saúde
  • Mental Health Platform
  • Telemedicine Platform
  • Life Insurance | Prudential
  • Pharmacy Benefit
  • Gym Allowance
  • Birthday Day Off
  • Flexible Meal Voucher
  • Home Office Allowance
  • Childcare Assistance
  • Transportation Voucher and Company Shuttle
  • Discount Platform (Allya, SwileShop, and Dell)
  • Education Benefits
  • Travel Benefits
  • Pet Health Plan
  • SESC Benefits
  • Profit-Sharing Program (PPRL)