Need Automotive/Vehicle Motors Background Role Overview: It is important that the LinkedIn profile of the candidates matches their resume, as the customer may review their profiles. The Data Engineer will play a critical role in building scalable, reliable data pipelines to support real-time and batch processing workflows. You will work closely with cross-functional teams to integrate multiple data sources, build Operational Data Stores, ,transformations and enable timely data availability for reporting and analytics through dashboards. Required Technologies & Skills: Cloud Storage & Data Warehousing: AWS S3, Snowflake Data Processing: Google Dataflow Batch & Real-Time Pipeline Development Data Visualization Support: Tableau (basic understanding for data publishing) Experience building Operational Data Stores (ODS) and data transformation pipelines in Snowflake Familiarity with truck industry aftersales or automotive service and repair data is a plus Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. 3+ years of proven experience in data engineering, especially with streaming and batch data pipelines. Hands-on experience with Kafka ecosystem (Confluent Kafka, Connectors) and cloud data platforms (Snowflake, AWS). Skilled in Python programming for data processing and automation. Experience with Google Cloud Platform services, especially Google Dataflow, is highly desirable. Strong understanding of data modeling, ETL/ELT processes, and data quality principles. Ability to work collaboratively in cross-functional teams and communicate technical concepts effectively. #J-18808-Ljbffr