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MHP - Mieschke Hofmann und Partner Gesellschaft für Management- und IT-Beratung mbH
Azure Databricks Data Engineer & Architect Lead
Job summary
A global IT services company in Valencia is seeking an experienced Azure Databricks Data Engineer / Data Architect to design, build, and optimize scalable data platforms in a cloud environment. The role demands proficiency in Python and Apache Spark, along with experience in implementing ETL/ELT pipelines and establishing data governance. The ideal candidate will work closely with BI and ML teams to ensure high data quality and availability, contributing to impactful projects for various clients.
Benefits
Qualifications
- Strong proficiency in Python and Apache Spark for large-scale distributed data processing.
- Solid experience with SQL and NoSQL databases, including data modeling and query optimization.
- Hands-on experience designing workflows using data pipeline orchestration tools.
Responsibilities
- Architect, design, and implement scalable data solutions on Azure and Databricks.
- Build, automate, and orchestrate robust ETL/ELT pipelines using CI/CD best practices.
- Ensure data quality through automated unit, integration, and validation testing.
- Manage data ingestion and integration from on-premise systems to cloud environments.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.