Senior Data Engineer

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

Resumo da oferta

A leading data services company is seeking a professional to build, manage, and optimize data pipelines while ensuring compliance with data governance and security. The ideal candidate should have strong experience in various Data Management architectures, particularly in an AWS environment, and the ability to collaborate with cross-functional teams. Strong technical skills in data tools such as Databricks and Spark are essential. This role supports remote work arrangements.

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 comprehensive data structures.
• Drive automation through effective metadata management.
• Ensure compliance with data governance and security.

Conhecimentos

Data Management architectures

Data Modeling

Building data pipelines

Message queuing technologies

Creativity

Communication

Ferramentas

Databricks

Spark

Python

Terraform

SQL

Scala

S3

AWS Glue

AWS Athena

AWS Lambda

AWS Step Functions

Big Data

Relational Databases

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