Data Engineer, Mid-level

YSSY

Data Engineer developing robust data pipelines using cloud architectures. Collaborating with cross-functional teams in cloud and multicloud environments to impact business results.

Posted 6/30/2026full-timeBarueri • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudGoogle Cloud PlatformNoSQLSpark

About the role

Key responsibilities & impact

Design, develop, and maintain data pipelines (batch and streaming)
Implement and manage cloud data architectures
Ensure data quality and traceability
Integrate heterogeneous data sources
Collaborate with data scientists and ML engineers
Document solutions and architectural decisions

Requirements

What you’ll need

Experience developing and maintaining data pipelines in cloud and multicloud environments
Knowledge of tools such as Apache Spark, Airflow, dbt or equivalents
Implementation and management of cloud data architectures (Azure, AWS, or GCP)
Ensuring data quality and data governance
Integration of heterogeneous data sources (APIs, relational databases, NoSQL, flat files)
Collaboration with data scientists and ML engineers
Deployment of DataOps practices

Benefits

Comp & perks

BIZ (flexible benefit card)
Alice Health Plan
Amil Dental Plan (optional)
Life Insurance
Transportation voucher
Wellhub (Gympass)
Childcare assistance for parents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Pipeline DevelopmentData Quality AssuranceData GovernanceData IntegrationDataOps Practices

Soft Skills

CollaborationDocumentation