Databricks Data Engineer

GlobalSource IT; Teletrabalho; BRL 385.000 - 551.000; Tempo integral

Resumo da oferta

A leading IT solutions provider is in search of a Databricks Data Engineer for a fully remote contract. The ideal candidate will have hands-on experience with Databricks and be proficient in building scalable data pipelines using Spark, PySpark, SQL, and Delta Lake. Key responsibilities include optimizing ETL/ELT processes, transforming data for analytics, and designing insights through Power BI dashboards. Strong problem-solving skills and a solid understanding of data orchestration are essential for this role.

Qualificações

• Strong hands-on experience with Databricks and its components.
• Advanced skills in SQL for processing large datasets.
• Experience with cloud environments and CI/CD.

Responsabilidades

• Build and optimize ETL/ELT pipelines using PySpark.
• Ingest and transform data from diverse sources.
• Design insights through Power BI dashboards.
• Implement best practices for data orchestration.

Conhecimentos

Databricks experience (Spark, PySpark, Delta Lake)

Advanced SQL

Data integration from multiple sources

Distributed computing understanding

Power BI

CI/CD pipelines in Azure

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.