Databricks Data Engineer

GlobalSource IT; Santana de Parnaíba; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology company is seeking a Databricks Data Engineer to build and optimize ETL pipelines and transform data from multiple sources. The ideal candidate should have strong hands-on experience with Databricks, SQL, and data integration. This fully remote role requires skills in pipeline design and data quality assurance, ensuring data accuracy and performance. Familiarity with Power BI and CI/CD in Azure is also preferred, creating high-quality datasets for analytics.

Qualificações

• Strong hands-on Databricks experience (Spark, PySpark, Delta Lake).
• Advanced SQL for large-scale data processing.
• Experience integrating data from multiple structured and unstructured sources.

Responsabilidades

• Build and optimize ETL / ELT pipelines in Databricks using PySpark.
• Ingest, clean, and transform data from diverse sources.
• Develop reusable pipeline frameworks and data validation logic.

Conhecimentos

Databricks

Spark

PySpark

Delta Lake

SQL

Power BI

CI/CD

Data integration

Descrição da oferta de emprego

Databricks Data Engineer

Fully Remote Contract

We’re looking for a hands‑on Databricks Data Engineer with strong experience building scalable data pipelines using Spark, PySpark, SQL, and Delta Lake. This role focuses on ingesting data from multiple sources, transforming it for analytics, and publishing high‑quality datasets and visualizations.

Responsibilities

• Build and optimize ETL / ELT pipelines in Databricks using PySpark, Spark SQL, and Delta Lake.
• Ingest, clean, and transform data from diverse sources (APIs, SQL databases, cloud storage, SAP / legacy systems, streaming).
• Develop reusable pipeline frameworks, data validation logic, and performance‑tuned transformations.
• Design curated datasets and deliver insights through Power BI dashboards.
• Implement best practices for lakehouse development, orchestration, and version control.
• Troubleshoot pipeline performance issues and ensure data accuracy, reliability, and quality.

Required Skills

• Strong hands‑on Databricks experience (Spark, PySpark, Delta Lake).
• Advanced SQL for large‑scale data processing.
• Experience integrating data from multiple structured and unstructured sources.
• Solid understanding of distributed computing, performance tuning, and debugging Spark jobs.
• Power BI (reports, models, DAX preferred).
• Experience with CI / CD pipelines in an Azure environment

Nice to Have

• Experience with data quality frameworks, Lakehouse monitoring, or DQX
• Knowledge of Airflow, ADF, IoT, Kafka or other tools is a plus
• Experience with SAP data is a plus.