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Senior Data Engineer
Descrizione del lavoro
A leading technology company in Brazil is seeking a Data Engineer to build, manage, and optimize data pipelines. Responsibilities include ensuring compliance with data governance and architecture while collaborating with stakeholders. The ideal candidate will have strong experience in Data Management architectures, primarily in AWS, and excellent communication skills. This position supports remote work, fostering collaboration among cross-functional teams.
Competenze
- Strong experience with various Data Management architectures, mainly in AWS environment.
- Ability to design, build and manage data pipelines.
- Experience working with commercial and open-source message queuing technologies.
Mansioni
- Create, maintain, and optimize data pipelines encompassing data modeling and transformation.
- Drive automation through effective metadata management.
- Participate in ensuring compliance during data use.
Conoscenze
Strumenti
- Responsible for building, managing, and optimizing data pipelines;
- Support for defining data flows and access to data sources;
Ensure compliance with data governance, data architecture, and data security requirements.
- Create, maintain, and optimize data pipelines for data structures that encompass data modeling, data transformation, schemas, metadata, and workload management;
- Drive Automation through effective metadata management;
- Participate in ensuring compliance and governance during data use, including the maintenance of the data catalog;
- Collaborate and support data owners and other stakeholders around data topics;
- Ensure the proper use of the data architecture defined by Data Factory team;
Respect and follow security principles ensuring compliance with data delivery.
- Strong experience with various Data Management architectures, mainly AWS environment;
- Strong experience with Data Modeling;
- Ability to design, build and manage data pipelines;
- Experience working with commercial and open source message queuing technologies;
- Highly creative and collaborative;
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
- Solid knowledge in : Databrics, Spark, python, terraform, SQL, Scala, S3, AWS Glue, AWS Athena, AWS Lambda, AWS Step Functions;
- Big data, Relational Databases;
- Experience in : EMR, Gitflow, Agile Metodology;
- DevOps.
Languages
English : Advanced or Fluent
Additional information
Remote work
* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.