We are looking for a skilled Data Engineer with robust hands-on experience in Azure and Databricks to build scalable data pipelines and optimize data workflows. The ideal candidate will be responsible for designing ETL/ELT processes, transforming and enriching data, handling structured and unstructured datasets, and supporting business analytics through efficient data modeling and performance tuning. MUST HAVE AZURE CERTIFICATION* Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks

Extract, transform, and load data from multiple data sources (structured & unstructured)

Clean, validate, and enrich data at various processing stages

Develop and optimize data models (dimensional modeling, star schema, etc.)

Monitor, troubleshoot, and improve performance of data pipelines and SQL queries

Ensure data quality, consistency, and governance standards

Collaborate with BI, analytics,



and business stakeholders to understand requirements

Implement best practices for performance tuning and cost optimization in Azure Required Skills & Qualifications Strong hands-on experience with Azure Databricks

Good understanding of Azure Data Lake, Azure Data Factory, and related Azure services

Strong SQL skills (complex joins, aggregations, query optimization)

Experience with PySpark / Apache Spark

Experience building and maintaining ETL/ELT workflows

Knowledge of data modeling concepts

Experience handling unstructured textual data

Strong analytical and problem-solving skills Positive to Have Experience with Delta Lake

CI/CD experience for data pipelines

Knowledge of data governance and security best practices

Exposure to cloud data warehousing solutions Skills: python,azure,sql

📌 Azure DataBricks_5 years (Hyderabad)
🏢 Zorba AI
📍 Hyderabad