
Job Description
Ovii's Interpretation of the Role
Software Engineer II focused on designing, building, and operating scalable data pipelines and platforms for Tekion's cloud‑native automotive ecosystem. The role emphasizes data quality, end‑to‑end reconciliation, and collaboration with cross‑functional stakeholders to deliver reliable AI‑assisted data products.
Role Snapshot
- Build and maintain scalable data pipelines
- Create data models across Bronze, Silver, Gold layers
- Enforce data quality and reconciliation
- Collaborate with analysts, product managers, and engineers
- Develop dashboards and AI‑driven query tools
Must-Have Requirements
- Python
- SQL
- dbt
- Databricks Delta Live Tables
- Data quality frameworks
- Lakehouse architecture
- Relational databases
- NoSQL databases
- REST APIs
- CI/CD pipelines for data workflows
- Tableau or Databricks AI/BI
- Strong communication
- data engineering
- pipeline development
- data quality implementation
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
Nice-to-Have Signals
- AI coding assistants
- AI agent development
- AI coding assistance
Work Setup
- Location: Bangalore, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design, develop, and maintain data pipelines and models across Bronze, Silver, and Gold layers
- Write transformation logic with dbt and Databricks Delta Live Tables, ensuring scalability and correctness
- Implement comprehensive data quality checks and end‑to‑end reconciliation at every pipeline stage
- Monitor data quality alerts, investigate anomalies, and drive permanent fixes
- Collaborate with business stakeholders to translate requirements into reliable data products
- Build analytical dashboards and AI‑driven query spaces for self‑serve insights
- Optimize Databricks Genie spaces and AI agents to accelerate pipeline development
Good Fit If You Have
- Experience building AI‑assisted data pipelines
- Strong communication with technical and non‑technical audiences
- Ability to translate business requirements into data products
Skills
- Python
- SQL
- dbt
- Databricks Delta Live Tables
- Data quality frameworks
- Lakehouse architecture
- Relational & NoSQL databases
- REST APIs
- CI/CD for data workflows
- Tableau / Databricks AI‑BI
- AI coding assistants