Gradera defines a current category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes.
Overview
We are seeking a hands-on, collaborative Lead Data Engineer to drive the technical direction, architecture, and delivery of our data foundation for digital twin and AI-powered enterprise platforms. As Lead Data Engineer, you will provide technical leadership and guidance to the data engineering team, ensuring the delivery of robust, scalable, high-performance data pipelines that power real-time operational intelligence and simulation-ready data products. This role partners closely with data architects, simulation engineers, ML engineers, and platform teams.
Our core data platform stack includes:
Data Platform & Lakehouse
Databricks as the single point of truth for all data
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 and streaming
Structured Streaming for continuous data processing
Delta Live Tables for declarative, quality-enforced pipelines
Specialized Data Stores
TimescaleDB for time-series operational data
Transformation & workflows
Python, Scala, and SQL for data transformation and orchestration
AI/ML workflows on Databricks models
Data Quality & Governance
Great Expectations and Delta Live Tables expectations for data validation
Unity Catalog for metadata management and compliance
Work with Time‑series databases is a plus
Key Responsibilities
Provide technical leadership, mentor
📌 Lead Data Engineer (Hyderabad)
🏢 Gradera
📍 Hyderabad
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