DTICI_DnA_Data Product Engineer

Job description

We are seeking a skilled Data Product Engineer to define, design, build, and operate scalable Data Products. You will play a crucial role to unlock value in our data ecosystem by working in cross functional teams leveraging cloud data analytics technologies to enable data accessibility, quality, and insights across the organization. Bachelor/Master 1 to 4 Years of Experience in Data Engineering Knowledge of Data Management Automotive Language skills: English fluent Teamwork, motivation, communication skills You don t bring everything with you No problem! We look for skills but hire for attitude! Key Responsibilities: - Collaboration: Work closely with data scientists, analysts, and other stakeholders to define data-driven projects and provide access to reliable, well-structured data. - Data Modelling: Develop and manage data models within Databricks/Snowflake, ensuring efficient, secure data organization and accessibility. - Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform and load data from multiple sources, using Azure Databricks/Snowflake. - Data Transformation: Implement transformations, standardizing data for analysis and reporting. - Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.