Senior Data Engineer

Stefanini Group; Santo André; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology firm in Brazil is looking for a skilled data management professional to create and optimize data pipelines. The ideal candidate will have strong experience with AWS architectures, data modeling, and pipeline management. Responsibilities include collaborating with cross-functional teams, ensuring compliance with data governance, and driving automation. The role offers remote work flexibility and requires advanced English proficiency.

Qualificações

• Strong experience with data management architectures, mainly in AWS.
• Ability to design and build data pipelines.
• Experience working with message queuing technologies.

Responsabilidades

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

Conhecimentos

Data Management architectures

Data Modeling

Data pipeline design and management

Message queuing technologies

Creativity

Collaboration

Communication skills

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