Data Engineer (Remote) | Engenheiro de Dados Pleno (Remoto)
Sobre a Vaga
Dadosfera, a leader in Data and AI Platform Solutions, is looking for exceptional Data Engineering talent. We are seeking someone who is passionate about data, thrives in an autonomous and high-learning environment, and enjoys working with cutting-edge technologies.
As a Data Engineer, your mission will be to manage large volumes of data, design and implement data solutions, and generate valuable insights for our clients.
This is a fully remote position, offering the flexibility to collaborate with teams in a dynamic and innovative environment.
Responsabilidades
Develop and maintain data pipelines using Apache Spark and Apache Airflow.
Build and enhance integrations between different corporate data sources.
Implement data transformations following engineering best practices and observability standards.
Support the maintenance and optimization of environments running on containers and Kubernetes.
Support the development and maintenance of analytical models consumed by Power BI and Metabase.
Collaborate with Analytics Engineers to provide reliable and well-documented data assets for business teams.
Contribute to data cataloging, documentation, and data governance initiatives.
Participate in the evolution of AI agents used by the Data team.
QualificaçÔes MĂnimas
3+ years of experience in Data Engineering or a related field.
Bachelorâs degree in a STEM field or equivalent professional experience.
Hands-on experience with Python for data pipeline development.
Experience with Apache Spark.
Knowledge of workflow orchestration using Apache Airflow.
Strong SQL skills and experience with analytical data modeling.
Experience working with Linux environments and Docker containers.
Knowledge of Git and collaborative development best practices.
Experience with data pipeline troubleshooting and monitoring.
QualificaçÔes Desejåveis
Experience with Kubernetes.
Knowledge of ClickHouse.
Intermediate English proficiency.
Experience with data catalog tools (DataHub, OpenMetadata, Atlan, Collibra, or similar).
Experience working with on-premises environments.
Knowledge of DataOps and data observability practices.
Experience with AI agents applied to software or data engineering.
At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination.
Do you share our values? Then donât waitâapply today!
Dadosfera, a leader in Data and AI Platform Solutions, is looking for exceptional Data Engineering talent. We are seeking someone who is passionate about data, thrives in an autonomous and high-learning environment, and enjoys working with cutting-edge technologies.
As a Data Engineer, your mission will be to manage large volumes of data, design and implement data solutions, and generate valuable insights for our clients.
This is a fully remote position, offering the flexibility to collaborate with teams in a dynamic and innovative environment.
Responsabilidades
Develop and maintain data pipelines using Apache Spark and Apache Airflow.
Build and enhance integrations between different corporate data sources.
Implement data transformations following engineering best practices and observability standards.
Support the maintenance and optimization of environments running on containers and Kubernetes.
Support the development and maintenance of analytical models consumed by Power BI and Metabase.
Collaborate with Analytics Engineers to provide reliable and well-documented data assets for business teams.
Contribute to data cataloging, documentation, and data governance initiatives.
Participate in the evolution of AI agents used by the Data team.
QualificaçÔes MĂnimas
3+ years of experience in Data Engineering or a related field.
Bachelorâs degree in a STEM field or equivalent professional experience.
Hands-on experience with Python for data pipeline development.
Experience with Apache Spark.
Knowledge of workflow orchestration using Apache Airflow.
Strong SQL skills and experience with analytical data modeling.
Experience working with Linux environments and Docker containers.
Knowledge of Git and collaborative development best practices.
Experience with data pipeline troubleshooting and monitoring.
QualificaçÔes Desejåveis
Experience with Kubernetes.
Knowledge of ClickHouse.
Intermediate English proficiency.
Experience with data catalog tools (DataHub, OpenMetadata, Atlan, Collibra, or similar).
Experience working with on-premises environments.
Knowledge of DataOps and data observability practices.
Experience with AI agents applied to software or data engineering.
At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination.
Do you share our values? Then donât waitâapply today!