Senior Data Engineer

Stefanini Group; Aracaju; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology solutions provider in Brazil is seeking a Data Engineer to build and manage data pipelines. This role involves optimizing data flows and ensuring compliance with governance and security requirements, utilizing AWS services such as Databricks, Spark, and various tools for data modeling. The ideal candidate will possess advanced communication skills and experience in data management architectures. Remote work is supported for this position.

Qualificações

• Experience with AWS environment is essential for managing data.
• Strong knowledge in data modeling and pipeline management.
• Advanced communication skills for collaboration with stakeholders.

Responsabilidades

• Build and optimize data pipelines for various data needs.
• Drive automation through effective metadata management.
• Ensure compliance with data governance and security.

Conhecimentos

Data Management architectures

Data Modeling

Building and managing data pipelines

Message queuing technologies

Creativity and collaboration

Communication skills

Ferramentas

Databricks

Spark

Python

Terraform

SQL

Scala

AWS Glue

AWS Athena

AWS Lambda

AWS Step Functions

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