Data Engineering Lead

Kumaran Systems; Hyderabad; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

Kumaran Systems in Hyderabad is seeking a senior Data Engineer to design, build, and optimize Azure-based data pipelines and lakehouse solutions. You will collaborate across teams in an Agile environment to deliver secure, reliable datasets with strong governance and documentation.

The ideal candidate will have 8+ years in data engineering, expertise in Databricks, Python, Spark, and Azure ecosystem, and a focus on performance, data quality, and scalability.

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 and Unity Catalog governance.
• Proficiency in SQL and performance optimization.
• Experience with ETL/ELT and data modeling (star/dimensional).
• CI/CD tooling experience (Azure DevOps or GitHub Enterprise).
• Knowledge of Azure Entra ID for security and access control.
• Familiarity with Agile/Scrum methodologies (Jira/Confluence).
• Excellent communication, documentation, and collaboration skills.

Responsibilities

• Design scalable data pipelines using Azure and Databricks.
• Build and maintain ETL/ELT workflows from diverse data sources.
• Implement Delta Lake and Medallion architecture (Bronze/Silver/Gold).
• Develop data transformations with Python, Spark, and Pandas.
• Design and optimize SQL queries and data models (star schema).
• 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.
• Collaborate in Agile ceremonies and code reviews.
• Mentor junior team members.

Skills

Data engineering

SQL performance

Agile collaboration

Tools

Azure Databricks

Azure Data Factory

Delta Lake

Medallion architecture

Azure Data Lake Storage

Unity Catalog

Python

Spark

Pandas

CI/CD (Azure DevOps/GitHub)

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

Responsible use of Generative AI tools with validation and guardrails