Description

Key Responsibilities

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  • Design and architect scalable data ingestion pipelines to process service and repair data from multiple sources, including external dealer data streams.
  • Ingest real time data using Confluent Kafka and ensure reliable, high throughput data flow.
  • Utilize Google Dataflow to perform data cleansing, normalization, and transformation operations.
  • Model and optimize data storage in Snowflake to support efficient querying and reporting.
  • Develop and maintain interactive and insightful dashboards using Tableau to enable business users to monitor Aftersales service performance.
  • Implement real time reporting capabilities by pushing transformed data through APIs to dashboards.
  • Collaborate closely with data engineers, analysts, and business stakeholders to understand data requirements and deliver optimal solutions.
  • Establish and enforce data governance, quality, and security standards.
  • Continuously improve data architecture to support scalability, performance, and evolving business needs.

Required Qualifications

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  • Proven experience as a Data Architect or similar role in data intensive environments.
  • Strong expertise in data ingestion technologies, especially Confluent Kafka.
  • Hands on experience with Google Dataflow (Apache Beam) for data processing and transformation.
  • Deep knowledge of cloud data warehousing concepts, with proficiency in Snowflake.
  • Experience creating reports and dashboards using Tableau.
  • Solid understanding of data modeling techniques (star schema, snowflake schema, normalized forms).
  • Familiarity with API integration for real time data delivery.
  • Strong problem solving skills and attention to data quality and reliability.
  • Excellent communication skills and ability to translate technical concepts for business stakeholders.

Preferred Qualifications

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  • Experience in the automotive or truck industry, particularly in Aftersales service data.
  • Knowledge of additional cloud platforms and data tools (e.g., AWS, GCP, Azure).
  • Programming skills in Python, SQL, or Java.
  • Understanding of dealer management systems and external data integration challenges

Key Skills

Education

Any Gradute