Senior Data Engineer

Stefanini Group; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading data solutions company in Brazil is seeking a skilled data management professional to build and optimize data pipelines in AWS environments. The ideal candidate should have strong experience in data modeling, automation, and knowledge of key technologies such as Databricks and Spark. This position supports remote work and requires excellent collaboration skills. Join us to ensure effective data governance and compliance across projects.

Qualificações

• Strong experience in Data Management architectures, mainly within AWS environments.
• Ability to design, build and manage data pipelines effectively.
• Solid knowledge in Databricks, Spark, and AWS services.

Responsabilidades

• Create, maintain, and optimize data pipelines.
• Drive automation through effective metadata management.
• Ensure compliance with data governance and architecture.

Conhecimentos

Data Management architectures (AWS)

Data Modeling

Design and management of data pipelines

Message queuing technologies

Collaboration and communication

Ferramentas

Databricks

Spark

Python

Terraform

SQL

Scala

AWS Glue

AWS Athena

AWS Lambda

AWS Step Functions

EMR

Gitflow

Descrição da oferta de emprego

Mission

• 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.

Responsibilities

• 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.

Competencies & Skills

• 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.

Specific Technical Knowledge

• Solid knowledge in: Databricks, 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