Data Engineer

Kumaran Systems; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Kumaran Systems is seeking a Data Engineer to design, build, and optimize Azure-based data pipelines and lakehouse solutions for robust governance and quality. The role emphasizes automation, documentation, and collaboration in an Agile environment.

The ideal candidate has extensive experience with Databricks, Python, Spark, Delta Lake, and Azure services, delivering scalable, secure data assets with strong performance.

Qualifications

• 8+ years of experience in Data Engineering.
• Strong experience with Azure Databricks, Python, Spark, Pandas.
• Experience with Azure Data Factory for orchestration.
• Hands-on Delta Lake and Medallion architecture.
• Strong knowledge of Azure Data Lake Storage (ADLS).
• Experience with Unity Catalog migration and governance.
• Strong SQL and performance optimization.
• Experience in ETL/ELT and data modeling (star/snowflake).
• 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 (Jira/Confluence).
• Strong communication, documentation, and collaboration skills.

Responsibilities

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

Skills

Data engineering

Agile/Scrum

Team collaboration

Documentation

Tools

Azure Databricks

Python

Spark

Azure Data Factory

Delta Lake

Medallion architecture

Unity Catalog

ADLS

SQL performance tuning

CI/CD tools

Azure DevOps

GitHub Enterprise

Azure Entra ID

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