Data Architect Engineer

2 settimane fa


Monte San Pietro, Emilia-Romagna, Italia Datalogic A tempo pieno

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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