Databricks Data Engineer

GlobalSource IT; Teletrabalho; BRL 319.000 - 426.000; Tempo integral

Resumo da oferta

A technology company is seeking a Databricks Data Engineer for a fully remote contract position. The role involves building and optimizing scalable data pipelines using Databricks technologies including Spark, PySpark, and Delta Lake. Candidates should have strong experience with SQL and data integration from various sources. This is an excellent opportunity for hands-on engineers with expertise in data transformation and dashboard design using Power BI.

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, Spark SQL, and Delta Lake.
• Ingest, clean, and transform data from diverse sources.
• Design curated datasets and deliver insights through Power BI dashboards.

Conhecimentos

Databricks experience

Advanced SQL

Data integration

Distributed computing

Power BI

CI/CD in Azure

Ferramentas

Databricks

Spark

PySpark

Delta Lake

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.