Senior Data Engineer Em Tijucas (pi)

RE Partners; Piauí; Presencial; BRL 60 000 - 90 000; Tempo integral

Resumo da oferta

RE Partners is seeking a Senior Data Engineer in Tijucas, Piauí. The role includes designing and building Spark data ETL pipelines on the AWS platform, collaborating with cross-functional teams, and maintaining data infrastructure. Candidates should have professional experience in data warehousing and data engineering, with proficiency in programming languages like Scala, Java, or Python. Strong knowledge of AWS infrastructure is also required. Salary is negotiable.

Qualificações

• Professional experience in data warehousing, data architecture, and/or data engineering environments.
• Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent).
• Deep understanding of system design, data structures, and algorithms.

Responsabilidades

• Design and build Spark data ETL pipelines on the AWS data platform.
• Collaborate with cross-functional teams to understand data needs.
• Optimize and maintain robust data infrastructure.

Conhecimentos

Data warehousing

Data architecture

Spark

Hadoop

Hive

Scala

Python

AWS (EMR, S3, Lambda, Redshift)

Descrição da oferta de emprego

Senior Data Engineer – Tijucas (PI) – Tijucas

Responsibilities

• Design and build Spark data ETL pipelines on the AWS data platform.
• Collaborate with cross‑functional teams such as data scientists, fraud, marketing, and other business stakeholders to understand their data needs and deliver reliable solutions.
• Optimize and maintain robust data infrastructure using modern data‑platform architecture.
• Ensure data quality and reliability.
• Innovate and follow best practices.
• Maintain operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement.

Qualifications

• Professional experience in data warehousing, data architecture, and/or data engineering environments, especially with Spark, Hadoop, Hive, and streaming pipelines.
• Proficiency in at least one high‑level programming language (Scala, Java, Python or equivalent).
• Good understanding of databases.
• Experience building large‑scale data products and understanding the trade‑offs involved.
• Deep understanding of system design, data structures, and algorithms.
• Excellent knowledge of distributed computing frameworks such as Hadoop MapReduce and Spark.
• Strong knowledge of AWS infrastructure (EMR, S3, Lambda, Redshift, etc.).
• Strong understanding of data quality and governance.
• Team player, self‑driven, highly motivated, and eager to learn new things.

Salary

A Combinar

Benefits

Não informado

Equal Opportunity Employer

We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.