Senior Data Engineer

Stefanini Group; Carapicuíba; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology company based in Brazil, São Paulo is seeking a professional to manage and optimize data pipelines. The role requires strong experience in data management architectures, particularly within AWS, and a solid understanding of data modeling. Candidates should have advanced communication skills for effective collaboration with cross-functional teams. This position offers the flexibility for remote work and focuses on ensuring compliance with data governance and security principles.

Qualificações

• Strong experience with various Data Management architectures, mainly AWS environment.
• Ability to design, build and manage data pipelines.
• Experience working with commercial and open source message queuing technologies.

Responsabilidades

• Create, maintain, and optimize data pipelines for data structures.
• Drive Automation through effective metadata management.
• Collaborate and support data owners and other stakeholders.

Conhecimentos

Data Management architecture

Data Modeling

Data pipelines management

Message queuing technologies

Creative collaboration

Communication skills

Ferramentas

Databricks

Spark

Python

Terraform

SQL

Scala

S3

AWS Glue

AWS Athena

AWS Lambda

AWS Step Functions

EMR

Gitflow

Agile Methodology

DevOps

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