Mid/Senior Data Engineer

Solo Network

full-time

Posted on: 12/12/2025

Location Type: Hybrid

Location: Pinhais • Brasil

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Senior

AirflowAzureBigQueryPythonSQL

About the role

Develop data pipelines for ingestion, transformation, and delivery at scale;
Work with modern architectures such as Lakehouse, Data Mesh, and Medallion;
Ensure data quality, traceability, versioning, and safe reprocessing of data;
Support the construction of observable environments and DataOps practices;
Implement solutions focused on performance, governance, and security;
Collaborate with architects, data scientists, and data analysts to enable efficient integrations;
Participate in technical discussions with clients and recommend best practices.

Solid experience in data engineering on complex projects (level proportional to seniority);
Strong SQL skills and hands-on experience with data transformation and integration;
Proficiency in Python for data manipulation and automation;
Experience with Microsoft ecosystem tools or equivalents on the Microsoft Fabric platform:
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake
Azure SQL / SQL Server
Power BI (dataset integration and modeling)
Experience with data orchestration, versioning, CI/CD, and monitoring;
Knowledge of data modeling best practices (relational and analytical);
Experience with cloud environments (Azure);
Familiarity with Git, DevOps, and deployment automation;
Experience with tools such as dbt, Airflow, Dagster;
Experience with data platforms such as Databricks, Snowflake, BigQuery, etc.;
Microsoft certifications (DP-203, DP-700, etc.);
Experience with AI projects, MLOps, or advanced analytics.

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

data engineeringSQLPythondata transformationdata integrationdata orchestrationdata modelingcloud environmentsMLOpsadvanced analytics

collaborationcommunicationtechnical discussionsbest practices recommendation

DP-203DP-700