Senior Data Engineer
3 settimane fa
The Senior Data Engineer will play a crucial role in designing, implementing, and maintaining scalable data solutions using Azure Databricks. This individual will collaborate with cross-functional teams to understand data requirements, architect efficient data pipelines, and ensure the integrity and availability of our data infrastructure.
Main Responsibilities:
- Collaborate with stakeholders to design scalable data architectures.
- Implement and maintain efficient data models using Azure Databricks.
- Design, develop, and optimize end-to-end data pipelines.
- Implement ETL processes to transform raw data into actionable insights.
- Leverage Azure Databricks expertise to implement advanced analytics and machine learning workflows.
- Collaborate with data stewards to establish and maintain data quality best practices.
- Optimize data workflows for performance and scalability.
Requirements:
- Proven experience as a Data Engineer with a focus on Azure Databricks.
- In-depth knowledge of data modeling, ETL processes, and data warehousing concepts.
- Proficiency in programming languages such as Python or Scala.
- Experience with big data technologies, such as Apache Spark.
- Strong understanding of data governance, security, and quality best practices.
Soft Skills:
- Ability to collaborate effectively in a cross-functional team environment.
- Strong problem-solving and troubleshooting skills.
Datalogic is an equal opportunities employer.
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