Mid-level Data Engineer

Cadmus Soluções em TI

Data Engineer in São Paulo responsible for developing and maintaining data pipelines. Collaborating with teams to ensure data quality and implementing best practices for data governance.

Posted 8/1/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and optimizing data pipelines with a strong focus on data reliability, security, and governance. Experienced in utilizing cloud environments and implementing CI/CD practices for data processes.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyKafka and Spark ExperienceCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyData Modeling with dbtWorkflow OrchestrationData TransformationBatch and Streaming Data ProcessingVersioning and Testing Best PracticesCloud Environment ExperienceData Quality Assurance

Soft Skills

Good Communication SkillsCollaborative MindsetAnalytical ThinkingOrganizational SkillsProactive Attitude

Tools & Technologies

KafkaSparkAirflowSnowflakeBigQueryRedshiftAWS

Industry Keywords

Data GovernanceData SecurityData ObservabilityCI/CD for Data PipelinesData Integration

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQueryKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Develop, maintain, and optimize batch and streaming data pipelines.
Integrate different data sources, ensuring data reliability and quality.
Work with workflow orchestration and automation of data processes.
Implement best practices for versioning, testing, and CI/CD for data pipelines.
Collaborate with data, product, and engineering teams to meet analytical and business needs.
Ensure data security, governance, and observability.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
Experience with technologies such as Kafka, Spark, Airflow, and Snowflake (or similar solutions like BigQuery or Redshift).
Experience with dbt for data modeling and transformations.
Advanced experience in Python and SQL.
Experience building data pipelines using CI/CD practices.
Experience working in cloud environments, preferably AWS.
Good communication skills and a collaborative mindset.
Analytical, organized, and detail-oriented.
Proactive attitude, proposing technical and process improvements.
Ability to handle multiple tasks and priorities.
Willingness to learn and continuously improve.

Benefits

Comp & perks

Hybrid (onsite and remote)