Brazil - Remote: Data Engineer - Platform & Pipelines

Halliburton Energy Services; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A global energy services company is seeking a Data Engineer in Rio de Janeiro. The position is focused on building and maintaining data pipelines to transform raw data into structured formats. Candidates should have experience with ELT processes and tools like Delta Lake and Airflow. Strong skills in ensuring data quality are essential. This role offers the chance to be part of an innovative team within a leading industry provider.

Qualificações

• Proven experience in developing data pipelines.
• Strong knowledge of ELT processes and data cleaning.
• Experience with data tools like Delta Lake, Polars, and Airflow.

Responsabilidades

• Build and maintain ELT pipelines from raw to cleaned data.
• Ensure data quality and availability for analysis.
• Transform unstructured data into structured data for effective querying.

Conhecimentos

Data pipeline development

Data quality assurance

ELT processes

Experience with Delta Lake

Proficiency in Airflow

Skills in using Polars

Ferramentas

Databricks

Descrição da oferta de emprego

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Date: Jan 22, 2026

Location: Rio de Janeiro, RJ, BR, 291941

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

We are implementing a strict Medallion Architecture to organize petabytes of industrial data. This role is for a Data Engineer who excels at transforming raw chaos into structured, queryable assets.

You will build and maintain the ELT pipelines that move data from "Bronze" (Raw) to "Silver" (Cleaned) and "Gold" (Aggregated). You will work with Delta Lake (On-prem/Databricks), Polars and Airflow to ensure data quality and availability for Data Scientists and the Knowledge Graph.

What You’ll Do

• Pipeline Development: