Databricks Developer

Kumaran Systems; Hyderabad; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Kumaran Systems seeks a Databricks Developer to design, build, and optimize scalable data pipelines in cloud environments using PySpark, Spark SQL, and Python. You will implement Delta Lake, Medallion Architecture, and robust data models to enable fast analytics and governance.

Collaborating with data engineers, analysts, and product owners in an Agile setup, you will tune Spark jobs, manage CI/CD, and integrate with cloud services such as Azure, AWS, or GCP to deliver reliable data platforms.

Qualifications

• 3–5+ years of experience with Databricks, Apache Spark, and Python (PySpark).
• Strong experience building scalable ETL/ELT pipelines with Spark SQL.

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines using PySpark and SQL in Databricks notebooks.
• Build and optimize data lake/warehouse architectures with Delta Lake and Medallion Architecture.
• Tune Spark jobs for performance, scalability, and cost efficiency; manage clusters and caching.
• Integrate Databricks with cloud services (Azure/AWS/GCP) and CI/CD tools (Git, Azure DevOps/Jenkins).
• Collaborate with data engineers, analysts, and stakeholders in an Agile environment to deliver robust data solutions.
• Ensure data quality, governance, security, and lineage across data platforms.

Skills

Databricks

Spark

PySpark

SQL

Medallion Architecture

CI/CD

Git

Airflow

MLflow

Delta Lake

Education

Bachelor's or Master's in CS/IT/Data Eng

Tools

Azure Databricks

AWS

GCP

Delta Lake

dbt

Airflow

Job description

Job Description:

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 reengineering 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 optimise 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.

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 efficient 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 configurations, partitioning strategies, and caching mechanisms.

Cloud Integration

• Integrate Databricks solutions with cloud services such as:
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS) Gen2
  • AWS S3 or other cloud storage platforms

Data Governance & Quality

• Implement data quality checks, validation frameworks, and monitoring processes.
• Ensure data security, encryption, masking, and lineage tracking.

Workflow Automation

• Build and manage automated workflows and scheduling using Databricks Jobs, Airflow, or CI/CD pipelines.
• Integrate with DevOps tools such as Azure DevOps or Jenkins for continuous integration and deployment.

Collaboration

• Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable data solutions.
• Participate in Agile development processes including sprint planning and technical discussions.

Required Skills & Qualifications

Core Technologies

• 3-5+ years of experience with Databricks, Apache Spark, and Python (PySpark).
• Strong experience building scalable ETL/ELT pipelines.

SQL Expertise

• Advanced knowledge of Spark SQL or Databricks SQL for data transformation and analysis.

Cloud Platforms

• Hands-on experience with Azure Databricks, AWS, or Google Cloud Platform (GCP).

Data Modeling

• Experience with Delta Lake and Medallion Architecture (Bronze/Silver/Gold layers).
• Strong understanding of data modeling and data warehouse concepts.

Version Control & CI/CD

• Proficiency with Git and CI/CD tools such as Azure DevOps or Jenkins.

Preferred Qualifications

• Experience with Data Build Tool (dbt).
• Knowledge of workflow orchestration tools such as Apache Airflow.
• Experience with Machine Learning workflows using MLflow.
• Familiarity with data governance and enterprise data platforms.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

Key Competencies

• Strong problem-solving and analytical skills
• Ability to handle large-scale data processing environments
• Good communication and collaboration skills in Agile teams