Databricks Data Engineer

Globalsource It; Teresina; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology company is seeking a Databricks Data Engineer to build and optimize scalable data pipelines. This fully remote role involves transforming data from multiple sources to deliver insights via Power BI dashboards. The ideal candidate will have strong expertise in Databricks, advanced SQL skills, and experience with CI/CD in Azure. Responsibilities include ensuring data quality, optimizing performance, and implementing best practices for lakehouse development. Join us in shaping data analytics solutions!

Qualificações

• Strong hands-on experience with Databricks and building ETL/ELT pipelines.
• Advanced SQL skills for processing large-scale data.
• Experience in integrating diverse data sources effectively.

Responsabilidades

• Build and optimize ETL / ELT pipelines in Databricks.
• Ingest and transform data from various sources.
• Develop reusable pipeline frameworks.

Conhecimentos

Databricks experience

Advanced SQL

Data integration

Distributed computing

Power BI

CI/CD in Azure

Ferramentas

Spark

PySpark

Delta Lake

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.