Data Engineer
Gradera (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 20–32 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable real-time and batch data pipelines powering digital twin platforms and operational analytics using Databricks, PySpark, Kafka, and Delta Lake.
- Implement data governance, quality checks, and metadata management via Unity Catalog and Delta Live Tables while optimizing pipeline performance and cost.
- Collaborate closely with data architects, ML engineers, and simulation teams to deliver high-quality, governed datasets and support production systems including business data warehouse solutions with Terradata.
Minimum Requirements
- 7+ years of hands-on data engineering experience, including building and maintaining production-grade data pipelines.
- Strong expertise with Databricks, PySpark, Delta Lake, Kafka, and Delta Live Tables.
- Experience implementing data governance and quality validation using Unity Catalog and Delta Live Tables expectations.
- Work Experience Required: 7+ years
Ideal Candidate Profile
- Experienced in building data pipelines for real-time operational systems, ideally with digital twin or simulation platform exposure.
- Knowledgeable in operational state modeling and time-series data or physics-informed ML feature engineering.
- Comfortable working in agile, distributed, multidisciplinary teams, preferably with exposure to industrial domains like Manufacturing, Logistics, or Transportation.