Senior Data Engineer

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

Resumo da oferta

A leading technology firm in Brazil seeks a skilled Data Engineer to build and optimize data pipelines, ensuring compliance with data governance. Candidates should have strong experience in AWS environments, data modeling, and excellent collaboration skills. Key responsibilities include maintaining data structures and driving automation. This position offers remote work options, making it ideal for a professional seeking flexibility along with impactful projects.

Qualificações

• Strong experience with various Data Management architectures, mainly in AWS environment.
• Solid knowledge of data transformation and workload management.
• Experience with Agile Methodology and DevOps environments.

Responsabilidades

• Create, maintain, and optimize data pipelines for various data structures.
• Drive automation through effective metadata management.
• Maintain the data catalog for compliance and governance.

Conhecimentos

Data Management architectures

Data Modeling

Designing data pipelines

Message queuing technologies

Collaboration

Communication skills

Ferramentas

Databricks

Spark

Python

Terraform

SQL

Scala

S3

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