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Omie

Data Engineer I – Data Ops

Omie

. Advance the corporate data ecosystem, working with the Databricks Lakehouse Platform and Redshift while ensuring high availability, governance, and performance.

Posted 10/5/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing scalable data architectures and pipelines using PySpark, Scala, and SQL, while ensuring data quality and compliance with LGPD. Proficient in leveraging the Databricks Lakehouse Platform for high-performance data management and analytics.

Highest-signal resume keywords
Databricks Lakehouse PlatformPySpark DevelopmentSQL ProficiencyPerformance OptimizationData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentScala ProgrammingPython ProgrammingQuery TuningData IngestionData TransformationData GovernanceData Quality AssuranceTechnical DocumentationData Engineering Frameworks
Soft Skills
CollaborationStrategic ThinkingCommunication
Tools & Technologies
RedshiftGitHubMonitoring MechanismsObservability Tools
Industry Keywords
LGPD ComplianceData EcosystemAnalytical WorkloadsTechnical StandardsData Integrity

Tech Stack

Tools & technologies
Amazon RedshiftPySparkPythonScalaSQL

About the role

Key responsibilities & impact
  • Advance the corporate data ecosystem, working with the Databricks Lakehouse Platform and Redshift while ensuring high availability, governance, and performance.
  • Implement scalable, distributed data architectures for large-scale ingestion, transformation, and consumption.
  • Develop data pipelines in PySpark, Scala, and SQL, ensuring efficiency, quality, and traceability.
  • Define and promote technical standards, best practices, and data engineering frameworks.
  • Collaborate with technology, product, and business teams to integrate systems and analytics layers.
  • Manage performance and optimize analytical workloads through advanced tuning and monitoring techniques.
  • Ensure data quality, integrity, and security in compliance with Brazil’s LGPD and corporate guidelines.
  • Implement and oversee observability and monitoring mechanisms for data and processes.
  • Document technical architectures, workflows, and processes.
  • Serve as a technical and strategic reference for architecture, performance, and scalability decisions.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Proven experience as a Senior Data Engineer.
  • Hands-on experience with the Databricks Lakehouse Platform or an equivalent technology.
  • Proficiency in Python and SQL for developing and optimizing data pipelines.
  • Experience with performance optimization and query tuning.
  • Experience with data modeling.
  • Familiarity with GitHub.

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)
  • Educational Benefits
  • Travel Benefits
  • Pet Health Plan
  • SESC Benefits
  • Profit-Sharing Program (PPRL)