Professional Data Engineer @ AVENGA in AVENGA

We are currently seeking a highly skilled and proactive Data Engineer with expertise in Snowflake, ServiceNow, and Talend. As a Data Engineer, you will play a crucial role in integrating with multiple product teams and ensuring efficient data management and integration processes. The main work will be leveraging compliance related data to build up a new product. While we will try to leverage mostly ServiceNow data, as the product evolves, other data sources might have to be assessed.

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer, working with Snowflake, ServiceNow, and Talend.
• Strong expertise in designing and developing data pipelines, ETL processes, and data integration workflows.
• Proficiency in SQL and scripting languages such as Python or Java.
• Solid understanding of data modeling, data warehousing concepts, and data governance principles.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to work in a fast-paced environment, managing multiple priorities and delivering high-quality results.
• Proactive attitude with a strong sense of ownership and accountability.

We are currently seeking a highly skilled and proactive Data Engineer with expertise in Snowflake, ServiceNow, and Talend. As a Data Engineer, you will play a crucial role in integrating with multiple product teams and ensuring efficient data management and integration processes. The main work will be leveraging compliance related data to build up a new product. While we will try to leverage mostly ServiceNow data, as the product evolves, other data sources might have to be assessed.

,[Collaborate with various product teams to understand their data requirements and design efficient data integration solutions using Snowflake, ServiceNow, and Talend., Develop, test, and deploy data pipelines, ETL processes, and data integration workflows., Ensure data quality, integrity, and consistency by implementing data governance best practices., Identify and resolve data-related issues, performance bottlenecks, and optimize data processing and storage., Collaborate with cross-functional teams to define data architecture, data models, and data governance frameworks., Design and implement scalable data solutions that align with business requirements and industry best practices., Stay up-to-date with the latest advancements in data engineering technologies and methodologies.]
Requirements: Snowflake, ETL, Python, SQL, ServiceNow
Additionally: Sport subscription, Training budget, Private healthcare, International projects.