Data Engineer – Mid-level

DOMVS iT

Engenheiro(a) de Dados desenvolvendo e sustentando pipelines Azure e Databricks na DOMVS iT. Garantindo qualidade, governança, performance e confiabilidade dos dados corporativos.

Posted 8/20/2026contractRemote • 🇧🇷 BrazilJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines on Azure and Databricks, with a strong focus on data governance, quality, and technical documentation. Proficient in SQL, Python, and ETL/ELT tools, with a solid understanding of big data fundamentals and agile methodologies.

Highest-signal resume keywords

Data Pipeline DevelopmentAzure Cloud PlatformsSQL ProficiencyETL/ELT Tools ExperienceData Governance Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPySparkETL/ELT ToolsData Pipeline DevelopmentRelational DatabasesNoSQL DatabasesBig Data FundamentalsAgile MethodologiesVersion Control

Soft Skills

Clear CommunicationTeamworkCollaborationResults OrientationAdaptability

Tools & Technologies

Microsoft AzureDatabricksData FactoryData Lake

Industry Keywords

Data GovernanceLGPDBusiness Requirements GatheringTechnical Documentation

Tech Stack

Tools & technologies

AzureETLNoSQLPySparkPythonSQL

About the role

Key responsibilities & impact

Develop and maintain data pipelines on cloud big data platforms for all areas of the company
Gather business requirements and implement technical solutions on Azure and Databricks
Support data governance and data quality
Develop and sustain data engineering pipelines on Azure and Databricks platforms
Capture and analyze business requirements across different areas of the organization, proposing technical data solutions
Execute tests and validations on pipelines and data systems in medium- and high-complexity projects
Monitor the performance of cloud big data systems, identifying optimization opportunities
Support the implementation of data quality, security, privacy and governance practices
Participate in migration projects and the implementation of corporate data solutions
Prepare and maintain technical documentation for pipelines, processes and data solutions
Troubleshoot and support the resolution of technical issues in data systems
Mentor and support less experienced professionals and other teams on data engineering topics
Participate in meetings with internal stakeholders to present solutions, clarify technical requirements and track data projects

Requirements

What you’ll need

2–5 years of experience in the field
Practical experience with ETL/ELT tools and data pipelines
Experience with cloud platforms, preferably Azure
Experience with SQL and Python
Proficiency in SQL, Python and PySpark
Microsoft Azure platforms (Data Factory, Databricks, Data Lake)
Development and maintenance of data pipelines
Relational and NoSQL databases
Fundamentals of big data and distributed processing
Agile methodologies (Scrum, Kanban)
Version control (Git)
Data governance concepts and LGPD (Brazilian General Data Protection Law)
Business requirements gathering and analysis
Technical documentation
Clear and concise communication
Teamwork and collaboration
Results and quality orientation
Adaptability and continuous learning
Organization and time management

Benefits

Comp & perks

Meal allowance (Flash - R$ 900.00 monthly)
Bradesco Health and Dental Plan
Professional development support (up to 30% of postgraduate tuition for the first 12 monthly installments; eligible after 12 months of employment)
Language assistance
Clude Saúde (medical consultation platform)
Birthday day off + gift
TotalPass
Udemy platform
Paid referral bonus (for each referred candidate hired, the employee receives R$1,000)
Merits platform (DOMVS' exclusive platform to give and receive merits; accumulated merits can be exchanged for vouchers such as iFood, Outback, etc.)