Role Overview:
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)
Manage data storage using Azure Data Lake Storage (ADLS)
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
Implement secure data access using Azure Entra ID (SSO/RBAC)
Maintain transparent 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
📌 Senior Data Engineer (Hyderabad)
🏢 Kumaran Systems
📍 Hyderabad
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