Senior Software Engineer - Data Engineer

Ovii's Interpretation of the Role

Senior Software Engineer – Data Engineer at Tekion will design and operate a multi‑tenant, cloud‑scale data platform for the automotive industry. The role drives batch‑to‑real‑time pipeline evolution, ensures data quality, and supports AI‑enabled analytics across the company.

Role Snapshot

• Design and build multi‑tenant data platforms
• Develop batch and real‑time ETL/ELT pipelines
• Implement lakehouse solutions (Delta Lake, Iceberg, Hudi)
• Optimize large‑scale SQL queries and data models
• Leverage Apache Spark, Airflow, and AWS services
• Ensure data quality, governance, and tenant isolation

Must-Have Requirements

• Python
• SQL
• Apache Spark
• AWS (EMR, S3, Glue, Athena)
• Data modeling (dimensional, Data Vault)
• Lakehouse technologies (Delta Lake, Iceberg, Hudi)
• Airflow
• Data engineering
• Building scalable data platforms

Nice-to-Have Signals

• Scala
• CI/CD, Git, Infrastructure as Code tools
• Kafka
• Flink
• Kinesis
• Scala development
• CI/CD and IaC practices

Work Setup

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

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Architect and evolve a cloud‑native, multi‑tenant data platform serving thousands of dealerships
• Create and maintain batch, streaming, and CDC pipelines for near‑real‑time data ingestion
• Build and optimize data warehouses and lakehouse architectures using Delta Lake, Iceberg or Hudi
• Write performant SQL and Spark jobs, handling partitioning, schema evolution, and performance tuning
• Deploy workflows with Airflow (or similar) and integrate AWS services such as EMR, S3, Glue, and Athena
• Implement data quality frameworks, monitoring, and governance controls

Good Fit If You Have

• Enjoys solving complex multi‑tenant data challenges
• Passionate about real‑time data ingestion and AI‑driven use cases
• Comfortable working in a fast‑paced, cloud‑native environment