Databricks Developer (Hyderabad)

Databricks Developer (Hyderabad)

16 Aug
|
Kumaran Systems
|
Hyderabad

16 Aug

Kumaran Systems

Hyderabad

About Us
Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.

Why Kumaran?

We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.

Job Summary
We are seeking a skilled
Databricks Developer
to design, develop, and optimize scalable
data pipelines and analytics solutions
using




Apache Spark, Python (PySpark), and SQL
within modern cloud environments. The ideal candidate will have hands-on experience working with
Databricks, Delta Lake, and cloud data platforms
, and will be responsible for building high-performance data processing workflows that support data-driven decision-making.

Key Responsibilities
Pipeline Development
- Design, develop, and maintain ETL/ELT data pipelines using PySpark and SQL in Databricks notebooks.
- Process large-scale datasets and ensure reliable and effective data transformations.

Architecture Design
- Implement data lake and data warehouse architectures using Databricks Delta Lake and Delta Live Tables.
- Build and manage Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing.

Performance Optimization
- Optimize Spark jobs and queries for performance, scalability, and cost-efficiency.
- Manage cluster c

📌 Databricks Developer (Hyderabad)
🏢 Kumaran Systems
📍 Hyderabad

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