Description

You will design and architect scalable data ingestion pipelines for service and repair data.

This role is on-site.

Responsibilities

• Design and build scalable data ingestion pipelines for service and repair data from multiple sources.
• Ingest real-time data using Kafka to ensure high-throughput flow.
• Utilize Google Dataflow for data cleansing, normalization, and transformation.
• Model and optimize data storage in Snowflake for efficient querying.
• Implement real-time reporting by pushing transformed data through APIs.

Required Skills

• 5+ years of experience as a Data Architect or similar role.
• Strong expertise in Kafka for data ingestion.
• Hands-on experience with Google Dataflow (Apache Beam).
• Deep knowledge of cloud data warehousing, specifically Snowflake.
• Proficiency in SQL, Python, or Java.
• Solid understanding of data modeling techniques (star/snowflake schema).
• Experience creating dashboards using Tableau.
• Familiarity with API integration for real-time data delivery.

Preferred Skills

• Experience in the automotive or truck industry, particularly Aftersales service data.
• Knowledge of additional cloud platforms like AWS, GCP, or Azure.

Key Skills

Education

Any Gradute