Workana

Senior Data Engineer

Workana

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Tech Stack

About the role

  • Design, develop, and maintain scalable and efficient data pipelines (ETL/ELT).
  • Build and optimize modern data architectures (Data Warehouse and Lakehouse).
  • Implement data models (primarily dimensional modeling using the Kimball approach).
  • Integrate multiple data sources ensuring quality, consistency, and availability.
  • Perform data profiling and anomaly detection.
  • Optimize SQL queries and performance across data platforms.
  • Collaborate on defining standards, best practices, and data architecture.
  • Implement CI/CD processes and DevOps practices applied to data pipelines.
  • Work under Agile methodologies (Scrum/Kanban) in collaboration with multidisciplinary teams.

Requirements

  • 3 to 5 years of experience in Data Engineering.
  • Solid experience with Azure technologies: Azure Data Factory, Azure Databrick, Azure Synapse Analytics
  • Microsoft Fabric (desirable and highly valued)
  • Experience in Data Warehouse and Lakehouse design, including Medallion Architecture.
  • Proficiency in ETL/ELT processes.
  • Experience in data profiling and anomaly detection.
  • Strong knowledge of dimensional data modeling (Kimball).
  • Advanced mastery of SQL.
  • Experience working with relational databases.
  • Experience in DevOps practices (CI/CD) applied to data.
  • Familiarity with Agile methodologies.
  • Must be fluent in english and spanish.
Applicant Tracking System Keywords

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

Hard Skills & Tools
data engineeringETLELTdata modelingdimensional modelingSQLdata profilinganomaly detectionDevOpsCI/CD
Soft Skills
collaborationcommunicationteamworkproblem-solvingadaptability