Senior Data Engineer

Ovii's Interpretation of the Role

Gradera is hiring a senior data engineer to lead the architecture and delivery of its data foundation that powers digital‑twin and AI‑driven enterprise platforms. The role builds scalable, high‑performance pipelines, enforces data quality and governance, and works closely with simulation, ML and platform teams.

Role Snapshot

• Senior Data Engineer
• Data Platform Architecture
• DataOps & CI/CD
• Real‑time Streaming
• Data Governance & Quality
• Collaboration with ML & Simulation Teams

Must-Have Requirements

• Databricks (Delta Lake, Unity Catalog)
• Apache Kafka
• Structured Streaming
• Delta Live Tables
• Python
• Scala
• SQL
• Great Expectations
• DataOps CI/CD
• hands‑on data engineering
• architecting scalable data platforms

Nice-to-Have Signals

• TimescaleDB
• OpenUSD / FMI / FMU pipelines
• Physics‑informed ML feature engineering
• Sub‑second latency real‑time pipelines
• Exposure to manufacturing, logistics, or transportation domains
• digital twin platforms
• physics‑informed ML

Work Setup

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

Not Specified in JD

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

What You'll Likely Work On

• Design and implement data foundations for digital‑twin, AI/ML, and operational analytics workloads.
• Build and maintain high‑throughput real‑time ingestion pipelines from IoT and enterprise systems using Kafka and Structured Streaming.
• Ensure data product quality, lineage, and compliance through Unity Catalog, Delta Lake, and Great Expectations.
• Drive DataOps practices including CI/CD, automated testing, and monitoring for all pipelines.
• Optimize data storage and query performance with Databricks SQL and TimescaleDB where appropriate.
• Partner with simulation engineers and ML teams to deliver simulation‑ready and feature‑engineered datasets.
• Enforce engineering rigor, code standards, and comprehensive documentation across the data stack.
• Communicate progress and share knowledge within the team and with product stakeholders.

Good Fit If You Have

• 5‑7 years of hands‑on data engineering experience
• Proven track record of delivering scalable production data platforms
• Experience with DataOps CI/CD and automated testing
• Familiarity with digital‑twin or simulation data pipelines (highly desirable)
• Comfort working in fast‑paced, ambiguous environments