Senior Data Engineer

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

Resumo da oferta

A leading technology solutions company in Belo Horizonte is seeking a Data Engineer to manage and optimize data pipelines. You will support data flow definitions, ensure compliance with data governance, and collaborate with stakeholders. The ideal candidate has strong experience with AWS, data modeling, and message queuing technologies. Proficiency in English is required. This role offers remote work flexibility.

Qualificações

• Strong experience with various Data Management architectures, mainly AWS environment.
• Ability to design, build and manage data pipelines.
• Advanced or fluent in English.

Responsabilidades

• Create, maintain, and optimize data pipelines.
• Drive Automation through effective metadata management.
• Ensure compliance and governance during data use.

Conhecimentos

AWS environment

Data Modeling

Data pipeline management

Message queuing technologies

Collaboration

Communication skills

Ferramentas

Databrics

Spark

Python

Terraform

SQL

Scala

S3

AWS Glue

AWS Athena

AWS Lambda

AWS Step Functions

Big Data

Relational Databases

EMR

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