Data Engineer

Ovii's Interpretation of the Role

Gradera is hiring a Data Engineer to design, build and operate scalable data pipelines that feed digital‑twin platforms, real‑time operational systems and AI/ML workloads. The role sits in the Data & Digital Twin Foundation team in Hyderabad and works closely with data architects, simulation engineers and ML teams.

Role Snapshot

• Build and maintain scalable data pipelines
• Implement real‑time Kafka ingestion
• Apply Delta Live Tables for data quality
• Govern data via Unity Catalog
• Collaborate with ML and simulation engineers
• Support production data systems
• Develop warehouse solutions with Terradata

Must-Have Requirements

• Databricks
• PySpark
• Delta Lake
• Apache Kafka
• Delta Live Tables
• Unity Catalog
• Terradata
• hands‑on data engineering
• production‑grade pipeline development

Nice-to-Have Signals

• Digital twin pipeline development
• Operational state modeling
• Physics‑informed ML feature engineering
• Industrial domain knowledge (Manufacturing, Logistics, Transportation)
• Experience with distributed multidisciplinary teams
• Familiarity with time‑series data patterns
• Operational data modelling exposure
• digital twin platform pipelines
• industrial domain exposure

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
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design, develop and maintain batch and streaming pipelines on Databricks using PySpark and Delta Lake
• Create high‑throughput Kafka ingestion pipelines for operational systems
• Build declarative pipelines with Delta Live Tables and enforce quality expectations
• Manage data lineage, access control and metadata through Unity Catalog
• Optimize pipeline performance, reliability and cost
• Produce clean, well‑documented code and participate in code reviews
• Partner with ML engineers to deliver feature‑engineered datasets for AI/ML models
• Support production data platforms through monitoring, troubleshooting and incident resolution
• Implement business‑intelligence warehouse solutions using Terradata

Good Fit If You Have

• Experience building pipelines for digital‑twin or simulation platforms
• Familiarity with time‑series data patterns and operational data modeling
• Exposure to manufacturing, logistics or transportation domains
• Proven ability to work in agile, cross‑functional teams
• Interest in physics‑informed or time‑series ML feature engineering