Ovii Job Board

Senior Software Engineer - Data Engineering

Tekion

Bengaluru, India • Onsite - Bengaluru, India • Full-Time • 6+ years

Posted 2026-07-06 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Senior Software Engineer focused on building and evolving a multi‑tenant, cloud‑scale data platform for the automotive industry. The role drives batch‑to‑real‑time pipeline modernization, data modeling, and lakehouse technologies to enable analytics and AI across the ecosystem.

Role Snapshot

  • Senior‑level data engineering
  • Design & scale multi‑tenant data platforms
  • Batch, streaming, and CDC pipelines
  • Lakehouse (Delta Lake, Iceberg, Hudi)
  • AWS cloud services
  • Apache Spark & distributed processing

Must-Have Requirements

  • Python or Scala
  • Advanced SQL
  • Apache Spark
  • Lakehouse technologies (Delta Lake, Iceberg, Hudi)
  • Airflow or similar orchestration
  • AWS EMR, S3, Glue, Athena
  • Kafka, Flink, or Kinesis
  • Dimensional modeling & Data Vault
  • Data quality frameworks
  • Data platform design
  • Large‑scale data processing
  • Lakehouse architecture

Nice-to-Have Signals

  • CI/CD, Git, Infrastructure as Code tools

Work Setup

  • Location: Bangalore, India
  • Work mode: ONSITE
  • Employment type: Full-Time

Eligibility Gates

  • Visa sponsorship: unknown

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Remote eligibility
  • Education requirement
  • Certifications

What You'll Likely Work On

  • Design and evolve a cloud‑scale, multi‑tenant data platform serving thousands of dealerships
  • Build and optimize batch, streaming, and CDC ingestion pipelines
  • Implement lakehouse solutions using Delta Lake, Iceberg, or Hudi
  • Develop data models with dimensional and Data Vault techniques
  • Create and maintain data quality frameworks and monitoring
  • Collaborate with cross‑functional teams to enable AI/ML use cases

Good Fit If You Have

  • Enjoy solving complex multi‑tenant data challenges
  • Comfortable working with large‑scale distributed systems
  • Passionate about modern data architectures and real‑time analytics

Skills

  • Python or Scala
  • Advanced SQL
  • Apache Spark
  • Lakehouse technologies (Delta Lake, Iceberg, Hudi)
  • Workflow orchestration (Airflow)
  • AWS data services (EMR, S3, Glue, Athena)
  • Streaming platforms (Kafka, Flink, Kinesis)
  • Dimensional modeling & Data Vault
  • Data quality & monitoring
  • CI/CD & IaC familiarity