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Tekion

Cloud-native automotive retail platform with DMS

Senior Data Engineer - Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • At least 6 years of experience in Data Engineering.
  • Strong experience designing and building scalable data platforms, data warehouses, and lakehouse architectures.
  • Deep expertise in data modeling, including dimensional modeling, Data Vault, and enterprise data architecture principles.
  • Advanced SQL skills, including query optimization, performance tuning, and large-scale data processing.
  • Hands-on experience with distributed data processing frameworks such as Apache Spark.
  • Strong understanding of lakehouse technologies such as Delta Lake, Apache Iceberg, or Apache Hudi.
  • Experience designing and implementing batch, streaming, and change data capture (CDC)-based data ingestion pipelines.
  • Proficiency in Python and/or Scala for data engineering applications.
  • Experience with workflow orchestration platforms such as Airflow or similar technologies.
  • Strong expertise in Python, SQL, and Apache Spark.
  • Experience building scalable batch and real-time extract, transform, and load (ETL) or extract, load, and transform (ELT) pipelines.
  • Hands-on experience with AWS services including EMR, S3, Glue, and Athena.
  • Experience with Kafka, Flink, or Kinesis for streaming data processing.
  • Strong knowledge of dimensional modeling, Data Vault, and data warehousing concepts.
  • Experience with Delta Lake, Apache Iceberg, or Apache Hudi.
  • Expertise in workflow orchestration using Airflow.
  • Experience implementing data quality frameworks and monitoring solutions.
  • Strong understanding of partitioning, schema evolution, and performance optimization.

Responsibilities

  • Design and evolve a multi-tenant, cloud-scale data platform serving dealerships and business users while maintaining tenant isolation, governance, and data quality standards.
  • Drive the evolution from batch-oriented data processing to near-real-time and real-time data ingestion architectures.
  • Build data intelligence capabilities that support analytical products, operational insights, and AI-driven experiences.

Desired Qualifications

  • Familiarity with CI/CD, Git, and Infrastructure as Code tools.

About the Company

Tekion

Cloud-native automotive retail platform with DMS

Tekion provides a cloud-native Automotive Retail Cloud (ARC) that unifies sales, CRM, service, parts, F&I, and accounting for dealers, OEMs, and consumers. ARC runs as a SaaS platform in the cloud on any device and uses AI, machine learning, and big data to enable digital retailing, personalized upsell opportunities, real-time analytics, and automated workflows, removing data silos. Tekion differentiates itself by offering an end-to-end single platform instead of separate tools, backed by unicorn funding and major automotive investors. Its goal is to standardize and modernize automotive retail and become the software backbone for auto retailers worldwide.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$635.1M
Headquarters
Pleasanton, CA
Founded
2016

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