Data Engineer
Overview
We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making.
Our core data platform stack includes:
Data Platform & Lakehouse
- Databricks as the single point of truth for all data
- Realtime Data Pipelines implemented using Kafka for data ingestion.
- Databricks SQL for analytical queries
- Unity Catalog for metadata management and governance
- Terradata for data warehouse and business intelligence.
Stream & Event Processing
- Apache Kafka for real-time event ingestion
- Structured Streaming for continuous data processing
- Delta Live Tables for declarative, quality-enforced pipelines
Data Quality
- Delta Live Tables expectations for data validation
- Data profiling and anomaly detection
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake
- Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
- Implement data transformations that serve digital twin platforms and operational analytics
- Integrate Kafka event streams with Databricks for real-time operational state updates
- Implement data quality checks using Delta Live Tables expectations
- Ensure data governance compliance through Unity Catalog (lineage, access control, metadata)
- Optimize pipeline performance, reliability, and cost efficiency
- Write clean, well-documented, and testable code following engineering best practices
- Collaborate with ML engineers to deliver feature-engineered datasets
- Participate in code reviews, knowledge sharing, and continuous improvement initiatives
- Support production data systems through monitoring, troubleshooting, and incident resolution.
- Build business data warehouse solutions using Terradata for business intelligence.
Preferred Qualifications
- 7+ years of hands-on data engineering experience
- Track record of building and maintaining production-grade data pipelines
- Experience with Delta Live Tables for declarative pipeline development
- Experience working in agile, cross-functional teams
- Familiarity with time-series data patterns and operational data modelling
Highly Desirable
- Experience building data pipelines for digital twin or simulation platforms
- Familiarity with operational state modeling for real-time systems
- Exposure to physics-informed or time-series ML feature engineering
- Experience working with distributed, multidisciplinary teams
- Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus
Location: Hyderabad, Telangana
Department: Engineering
Employment Type: Full-Time
Shubham Vishwakarma
Full Stack Developer - Averlon
About Gradera AI Technologies
About
Gradera delivers AI enterprise transformation through Software-Orchestrated Services and Neural IQ, deploying intelligent digital workers with governance.
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