Data Engineer

Kumaran Systems; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Kumaran Systems seeks an experienced Data Engineer to design, build, and optimize Azure-based data pipelines and lakehouse solutions. You will ensure secure, reliable datasets with governance, automation, and clear documentation while collaborating across teams in an Agile environment.

You will leverage Databricks, Python, Spark, and Delta Lake to implement Bronze/Silver/Gold layers, optimize performance, and mentor junior teammates within a dynamic Chennai-area team.

Qualifications

• 8+ years of experience in Data Engineering.
• Strong hands-on experience with Azure Databricks, Python, Spark and Pandas.
• Proven ability to orchestrate with Azure Data Factory (ADF).
• Hands-on with Delta Lake and Medallion architecture.
• Deep knowledge of Azure Data Lake Storage and data governance.
• SQL proficiency and performance optimization expertise.
• Experience in ETL/ELT, data modeling (star/snowflake).
• CI/CD practice for data pipelines (Azure DevOps or GitHub).
• Familiarity with Jira/Confluence and Agile/Scrum.

Responsibilities

• Design and build scalable data pipelines on Azure and Databricks.
• Develop ETL/ELT workflows from diverse sources.
• Implement Unity Catalog migration and data governance.
• Create data transformations with Python, Spark, Pandas.
• Apply Delta Lake and Medallion architecture (Bronze/Silver/Gold).
• Optimize SQL queries and data models (star/dimensional).
• Establish CI/CD pipelines for data workflows (Azure DevOps or GitHub).
• Ensure data quality, validation, monitoring, and observability.
• Maintain documentation for pipelines and contracts.
• Collaborate in Agile ceremonies and code reviews; mentor juniors.

Skills

Azure Databricks

Python

Spark

Pandas

Azure Data Factory

Delta Lake

Medallion Architecture

SQL

Data Modeling

Data Governance

CI/CD

Jira/Confluence

Azure Entra ID

Tools

Azure DevOps

GitHub Enterprise

Databricks DevOps

Azure Data Studio

Job description

We are seeking a skilled Data Engineer to design, build, and optimize Azure-based data pipelines and lakehouse solutions. The ideal candidate will deliver secure, reliable datasets with strong governance, automation, and documentation while collaborating across teams in an Agile environment. This role requires strong expertise in Databricks, Python, Spark, data pipelines, and Azure ecosystem, along with a focus on performance, scalability, and data quality.

Key Responsibilities

• Design and develop scalable data pipelines using Azure and Databricks
• Build and maintain ETL/ELT workflows from diverse data sources
• Experience with Unity Catalog migration and data governance.
• Develop data transformations using Python, Spark, and Pandas
• Implement Delta Lake and Medallion architecture (Bronze/Silver/Gold layers)
• Design and optimize SQL queries and data models (star/dimensional schema)
• Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub
• Ensure data quality, validation, monitoring, and observability
• Maintain clear documentation for pipelines and data contracts
• Participate in Agile ceremonies, code reviews, and team collaboration
• Support and mentor junior team members

Required Skills & Experience

• 8+ years of experience in Data Engineering
• Strong experience with Azure Databricks (Python, Spark, Pandas)
• Experience with Azure Data Factory (ADF) for orchestration
• Hands-on experience with Delta Lake and Medallion architecture
• Strong knowledge of Azure Data Lake Storage (ADLS)
• Experience with Unity Catalog migration and data governance
• Strong proficiency in SQL and performance optimization
• Experience in ETL/ELT and data modeling (star/dimensional schema)
• Experience with CI/CD tools (Azure DevOps or GitHub Enterprise)
• Understanding of Azure Entra ID for security and access control
• Experience in data validation, testing, and monitoring pipelines
• Familiarity with Agile/Scrum methodologies (Jira/Confluence)
• Strong communication, documentation, and collaboration skills

Preferred Experience

:

• Experience with Databricks DevOps (cluster configuration, secrets management)
• Experience with Azure Functions (Python or C#)
• Exposure to Synapse SQL pools, dbt, or Delta Live Tables
• Ability to work independently and contribute to team outcomes
• Strong focus on secure, production-grade data solutions
• Commitment to data reliability, performance, and governance
• Continuous learning mindset and adaptability