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iblue

Senior Data Engineer

iblue

Senior Data Engineer tasked with building and optimizing data pipelines at iblue Consulting. Collaborating with multidisciplinary teams for business growth and data modeling enhancements.

Posted 7/25/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and optimizing data pipelines, with a strong focus on SQL, Python, and cloud environments. Proficient in data modeling for Data Lakes and Data Warehouses, and knowledgeable in DevOps and CI/CD practices for data integration.

Highest-signal resume keywords
SQL OptimizationPython ProgrammingSpark and PySparkETL Tools ExperienceData Modeling

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonSparkPySparkDatabricksETL ToolsData IntegrationMonitoring and ObservabilityCloud EnvironmentsData Modeling
Soft Skills
CollaborationLeadership
Tools & Technologies
DatabricksETL ToolsCloud Environments
Certifications & Qualifications
Data CertificationsAnalytics CertificationsCloud Certifications
Industry Keywords
Data PipelineData LakeData WarehouseDevOpsCI/CD Practices

Tech Stack

Tools & technologies
CloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Build, maintain and optimize data pipelines
  • Propose improvements and lead data modeling in partnership with business stakeholders
  • Work with a multidisciplinary team to drive business growth

Requirements

What you’ll need
  • Solid experience with SQL (complex queries, optimization)
  • Python
  • Spark
  • PySpark
  • Databricks
  • Experience with ETL tools and data integration
  • Experience in monitoring and observability of pipelines
  • Experience in cloud environments
  • Familiarity with data modeling for Data Lake and Data Warehouse
  • Knowledge of DevOps and CI/CD practices applied to data pipelines
  • Certifications in Data, Analytics, and Cloud will be highly valued

Benefits

Comp & perks
  • Flexible remote work arrangements
  • Multidisciplinary team environment