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Data Engineer
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Data Engineer

Sirisha Jonnada's profile picture
Posted by Sirisha Jonnada
4 - 9 yrs
₹10L - ₹40L / yr
Hyderabad
Skills
databricks
Apache Kafka
PL/SQL

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



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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Gradera AI Technologies

Founded :
2025
Type :
Product
Size :
20-100
Stage :
Profitable

About

Gradera delivers AI enterprise transformation through Software-Orchestrated Services and Neural IQ, deploying intelligent digital workers with governance.

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Company social profiles

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