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À propos
We are seeking a MSenior Azure Data Engineer; ideal candidate will have a strong professional behaviour and background in developing & delivering scalable data solutions via Azure Databricks Data Lake. This is a hands‑on delivery role focused on building, optimizing, and maintaining scalable data pipelines using the Azure data platform.
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
The ideal candidate is pragmatic, delivery-oriented, and collaborative, someone who can design fit‑for‑purpose solutions, work closely with leads and peers, and contribute positively to team culture.
Role Overview
- Location: Dublin
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Azure Databricks (PySpark) and Azure Data Lake.
- Hands‑on implementation experience in event‑based or streaming ingestion pipelines (Event Hub, Kafka, etc.).
- Develop reliable ETL/ELT workflows, ensuring data quality, performance, and operational stability.
- Optimize Spark workloads with a focus on simplicity, efficiency, and maintainability.
- Work closely with the Data Engineering Lead to implement agreed designs, review solutions, and continuously improve engineering practices.
- Participate in peer code reviews, applying best practices and constructive feedback.
- Troubleshoot production issues proactively and support operational excellence.
- Collaborate effectively with cross‑functional teams across Ireland and the US, communicating clearly and professionally.
Required Skills
- PySpark
- ADF / orchestration tools
- Solid programming experience in SQL and python.
- Good understanding of ETL/ELT best practices, data modeling, and distributed data processing.
- Experience working in production‑grade data platforms. xcfaprz
- Strong communication skills and a collaborative, professional working style.
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Compétences linguistiques
- English
Avis aux utilisateurs
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