ICT BUSINESS INTELLIGENCE DATA ENGINEER

Contract type: Permanent Workplace: Lippo di Calderara di Reno (BO)

Salary based on experience

ICT Business Intelligence Data Engineer

DATALOGIC is offering a ICT Business Intelligence Data Engineer role, reporting to the Global Business Intelligence Manager. IT area

Datalogic Group is looking for a candidate joining our ICT Business Demand & Applications team playing a crucial role in enabling DL Functions to leverage their data assets effectively for decision-making, product development, and business growth.

Key Responsabilities

• Designs and implements efficient and robust architectures for handling big data including choosing appropriate storage solutions, data warehouses and data lakes.
• Develops data pipelines to extract, transform, and load data from various sources into the data storage systems ensuring data consistency, quality, and availability.
• Manages databases and data warehouses, ensuring their performance, scalability, and security. Optimizes queries, indexes, and data models for efficient data retrieval and storage.
• Works closely with data scientists and analysts to provide the data needed for analysis and reporting, understanding the data requirements of different stakeholders and creating data sets that meet those needs.
• Implements processes and tools to ensure data quality, integrity, and consistency including data validation, cleansing, and monitoring to identify and address data quality issues.
• Collaborates with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and requirements.
• Stays updated on the latest technologies and best practices in data engineering to continuously improve systems and processes.
  
  

Requirements

• Education: Bachelor/Master's Degree in Computer Science, Business Analytics, Information Technology, Data Science or a related field.
• Language: Fluent English; written and verbal.
• Experience: at least 3 of years of experience in data-related roles such as data analyst, data scientist, or junior data engineer.
  
  

Other Information And Specific Skills

• Knowledge of a laste one of the following Programming Languages: SQL, Python, Java/Scala.
• Knowledge of Database Technologies: SQL Server, Oracle, PostgreSQL; NoSQL Database Knowledge be a plus (MongoDB, Cassandra, Redis).
• Familiarity with data warehousing concepts and technologies like SAP HANA, Snowflake or Amazon Redshift or Google BigQuery.
• Experience with ETL (Extract, Transform, Load) tools such as Azure Data Factory, Talend or Microsoft SSIS.
• Knowledge of Bl tools such as Power BI, QlikView, Looker, or SAP BusinessObjects.
• Experience with cloud services from providers like Azure or Google Cloud Platform (GCP), especially their data-related services (e.g. Azure Synapse Analytics).
• Understanding of data modeling concepts and techniques
• Analytical Thinking
• Problem Solving
• Effective communication and relational skills.