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.
We are seeking a skilled Databricks Expert 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.
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
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.
Core Technologies
10+ years of experience with Databricks, Apache Spark, and Python (PySpark).
Strong experience building scalable ETL/ELT pipelines.
SQL Expertise
Cloud Platforms
Data Modeling
Version Control & CI/CD
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.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
Strong problem-solving and analytical skills
Ability to handle large-scale data processing environments
Good communication and collaboration skills in Agile teams
Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.
