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Databricks Data Engineer
Resumo da oferta
A leading technology solutions provider is seeking a Databricks Data Engineer for a fully remote contract. The ideal candidate will have strong experience in building scalable data pipelines using Databricks, Spark, and SQL. Responsibilities include optimizing ETL pipelines, integrating data from various sources, and delivering insights through Power BI dashboards. Strong skills in Databricks and experience with data engineering practices are essential.
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.
- Ingest, clean, and transform data from diverse sources.
- Design curated datasets and deliver insights through Power BI dashboards.
Conhecimentos
Ferramentas
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.
- 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.
- 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
- 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.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.