Databricks Data Engineer

GlobalSource IT; Teletrabalho; BRL 60.000 - 80.000; Tempo integral

Resumo da oferta

A technology solutions provider is seeking a Databricks Data Engineer for a fully remote contract. The successful candidate will build and optimize ETL/ELT pipelines using Databricks, focusing on ingesting and transforming data for analytics. Proficiency in Spark, PySpark, advanced SQL, and experience with Power BI are essential. You will also ensure data quality and reliability while implementing best practices for performance tuning and orchestration.

Qualificações

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

Responsabilidades

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

Conhecimentos

Databricks experience (Spark, PySpark, Delta Lake)

Advanced SQL

Experience integrating data from structured and unstructured sources

Distributed computing understanding

Power BI

CI/CD pipelines in Azure

Ferramentas

Databricks

Azure

Power BI

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.