Data Engineer

Ascendion; Teletrabalho; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A leading tech company is seeking a Data Engineer to enhance personalized search capabilities and support data modernization initiatives. The role requires strong experience with Python, Databricks, and Kafka. Key responsibilities include building data pipelines, performing data assimilation, and collaborating with teams to deliver tailored search experiences. This is a remote position suitable for candidates with a solid background in data engineering and problem-solving skills.

Qualificações

• 5+ years of overall experience in data engineering or related fields.
• Strong hands-on experience with Python, Databricks (minimum 2–3 years required), and Kafka.
• Proven experience designing, building, and maintaining scalable data pipelines.

Responsabilidades

• Support FY26 initiatives focused on data-driven and personalized search experiences.
• Enhance current search and relevance models.
• Perform data assimilation related to athlete journey insights.
• Build and optimize data pipelines in collaboration with the Data Engineering team.
• Prepare data for use across multiple business and technical functions.

Conhecimentos

Python

Databricks

Kafka

Problem-solving

Descrição da oferta de emprego

Overview

We are seeking a highly skilled Data Engineer to support the development of personalized search capabilities and data assimilation initiatives within the organization.

This is a remote role aligned to the EST time zone.

The ideal candidate will have strong experience working with Python, Databricks, and Kafka, and will contribute directly to ongoing data modernization efforts.

While the work is not tied to life‑critical systems, it is essential for advancing our long‑term data strategy.

Key Responsibilities

• Support FY26 initiatives focused on data‑driven and personalized search experiences.
• Enhance current search and relevance models, which are presently generic and not tailored to individual users.
• Perform data assimilation related to athlete journey insights and integrate this information into downstream applications.
• Build and optimize data pipelines in collaboration with the broader Data Engineering team.
• Compile, transform, and prepare data for use across multiple business and technical functions.

Required Technical Skills

• Strong hands‑on experience with: Python, Databricks (minimum 2–3 years required) and Kafka.
• Solid understanding of data engineering best practices and pipeline development.

Experience Requirements

• 5+ years of overall experience in data engineering or related fields.
• Proven experience designing, building, and maintaining scalable data pipelines.
• Strong problem‑solving skills and the ability to work in cross‑functional technical teams.