Senior Data Engineer

Stefanini Group; Porto Alegre; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology consulting firm is looking for a candidate to build, manage, and optimize data pipelines. The role involves ensuring compliance with data governance and architecture while collaborating with various stakeholders. Applicants should have strong experience in AWS Data Management environments, data modeling, and effective communication skills. This position offers remote work options and a dynamic work environment focused on data innovation.

Qualificações

• Strong experience with various Data Management architectures, mainly in AWS.
• Ability to design, build, and manage data pipelines.
• English language proficiency at an advanced or fluent level.

Responsabilidades

• Create, maintain, and optimize data pipelines for data structures.
• Drive Automation through effective metadata management.
• Collaborate with data owners around data topics.

Conhecimentos

Data Management architectures (AWS)

Data Modeling

Design, build and manage data pipelines

Message queuing technologies

Creativity and collaboration

Communication skills

Ferramentas

Databrics

Spark

Python

Terraform

SQL

Scala

S3

AWS Glue

AWS Athena

AWS Lambda

AWS Step Functions

Big data

Relational Databases

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 : 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