Senior Data Engineer – Aws (Hybrid Or Remote)

iTRTech Group; Brotas; Hybrid; BRL 260,000 - 420,000; Full time

Job summary

A iTRTech Group está recrutando um Senior Data Engineer – AWS para desenhar, desenvolver e manter plataformas de dados escaláveis em ambientes corporativos.

Você trabalhará com PySpark, Redshift, Iceberg e Airflow para construir pipelines de dados, Data Lake/Data Warehouse e arquiteturas Lakehouse, assegurando qualidade, desempenho e governança.

Qualifications

• Experiência avançada em engenharia de dados e plataformas em nuvem.
• Inglês avançado para comunicação internacional.
• Experiência prática com PySpark e processamento distribuído.

Responsibilities

• Projetar, desenvolver e manter pipelines de dados escaláveis.
• Construir soluções com PySpark, Redshift, Iceberg e Airflow.
• Desenvolver Data Lake, Data Warehouse e Lakehouse na nuvem.
• Implementar ETL/ELT de alto desempenho e qualidade de dados.
• Assegurar confiabilidade, escalabilidade e governança de dados.
• Monitorar cargas de trabalho de produção e resolver problemas.

Skills

PySpark

Amazon Redshift

Apache Iceberg

Apache Airflow

SQL

Data Pipelines

Tools

Airflow

AWS

Redshift

Iceberg

Job description

SENIORDATA ENGINEER – AWS (HYBRID OR REMOTE BRAZIL)

Company hires for hybrid or remote position

?? Location: Brazil —candidates from any region are welcome

?? Only candidates already basedin Brazil will be considered

?? Work Model: Hybridfor candidates living in state capitals and Remote forcandidates living in countryside/cities outside the state capitals

??? Language Requirements:Advanced English for professional communication

?? Seniority: Senior (6+years)

??Rate: Candidates shouldprovide their salary expectations

About the Opportunity

We are looking for an experienced Senior Data Engineer – AWS to design, develop, and maintain scalable cloud-based data platforms in complex enterprise environments.

The professional will work with PySpark, Amazon Redshift, Apache Iceberg, and Apache Airflow, building high-performance data pipelines and supporting modern Data Lake, Data Warehouse, and Lakehouse architectures.

Responsibilities

• Design, develop, and maintain scalable data ingestion, transformation, and delivery pipelines.
• Build and optimize data solutions using PySpark, Amazon Redshift, Apache Iceberg, and Apache Airflow.
• Develop and maintain cloud-based Data Lake, Data Warehouse, and Lakehouse platforms.
• Implement and improve high-performance ETL and ELT frameworks.
• Ensure data quality, reliability, scalability, and performance across pipelines and analytical workloads.
• Monitor production workloads, troubleshoot issues, and optimize data processing.
• Collaborate with architects, analysts, and business stakeholders on technical solutions.
• Support data governance, architecture reviews, code reviews, and cloud platform modernization.

Requirements

• Strong professional experience in Data Engineering and cloud-based data platforms.
• Advanced English proficiency for communication in international environments.
• Strong hands-on experience with PySpark and distributed data processing.
• Practical experience with Amazon Redshift and Apache Iceberg.
• Experience with Apache Airflow for data pipeline orchestration.
• Solid knowledge of AWS services for data engineering and analytics.
• Experience designing scalable ETL/ELT pipelines and Data Lake, Data Warehouse, and Lakehouse architectures.
• Advanced SQL skills, analytical workload optimization, data monitoring, governance, and quality management.

Ideal Candidate Profile

A Senior Data Engineer with strong expertise in AWS cloud data platforms, distributed processing, and modern data architectures. The ideal candidate has hands-on experience with PySpark, Redshift, Iceberg, and Airflow, demonstrating the ability to build reliable, scalable data pipelines and optimize complex enterprise data environments.

5 Questions for Candidates

• How many years of professional experience do you have in Data Engineering and AWS cloud platforms?
• What is your hands-on experience with PySpark, Amazon Redshift, Apache Iceberg, and Apache Airflow?
• Have you designed and implemented Data Lake, Data Warehouse, or Lakehouse architectures in AWS?
• Can you describe your experience optimizing ETL/ELT pipelines, SQL workloads, and data quality processes?
• What are your current salary, salary expectations, and availability to work in a hybrid or remote model in Brazil?

Keywords

Senior Data Engineer, AWS, Amazon Web Services, PySpark, Apache Spark, Amazon Redshift, Apache Iceberg, Apache Airflow, Data Engineering, Data Lake, Data Warehouse, Lakehouse, ETL, ELT, SQL, Data Pipelines, Cloud Data Platform, Data Governance, Data Quality, Distributed Data Processing, Data Architecture

#EY BR

Formação Acadêmica:

Não informado

Salário:

0

Cargo:

Data Engineer

Empresa:

iTRTech Group

Atua com construção civil, construções de galpão industriais e comerciais, casas de alto padrão, construções de praças, dentre outras atuações.

Ramo:

Construção Civil / Engenharia Civil

(DG)