
Senior Software Engineer - Data Engineering
Tekion
Posted 2026-07-06
Tech & Engg
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