Data Architect Engineer
5 giorni fa
Senior Data Engineer
The Senior Data Engineer at Datalogic plays a key role in designing, implementing, and maintaining scalable data solutions using Azure Databricks. This role involves collaborating with cross-functional teams to understand data requirements, architecting efficient data pipelines, and ensuring the integrity and availability of our data infrastructure.
Main Responsibilities:
- Data Architecture and Design:
- Collaborate with stakeholders to understand data requirements and design scalable data architectures.
- Implement and maintain efficient data models and structures using Azure Databricks.
- Data Pipeline Development:
- Design, develop, and optimize end-to-end data pipelines, ensuring the timely and accurate flow of data across the organization.
- Implement ETL processes to transform raw data into actionable insights.
- Azure Databricks Expertise:
- Leverage in-depth knowledge of Azure Databricks to implement and optimize advanced analytics and machine learning workflows.
- Utilize Databricks notebooks for data exploration, analysis, and code collaboration.
- Data Quality and Governance:
- Implement data quality checks and ensure adherence to data governance and security standards.
- Performance Optimization:
- Optimize data workflows for performance and scalability, ensuring efficient processing and storage of large datasets.
Qualifications:
Education: Bachelor or Master Degree in Computer Science, Software Engineering, or a related field.
Languages: Italian and English (Fluent).
Technical Skills:
- 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 for data engineering tasks.
- Experience with big data technologies, such as Apache Spark.
- Strong understanding of data governance, security, and quality best practices.
- Familiarity with cloud-based data storage and processing services, particularly Azure Data Lake Storage and Azure SQL Data Warehouse.
- Excellent SQL skills for data manipulation and analysis.
Soft Skills:
- Ability to collaborate effectively in a cross-functional and dynamic team environment.
- Strong problem-solving and troubleshooting skills.
- Previous experience in implementing advanced analytics and machine learning workflows is a plus.
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