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we have 2 openings for Azure Databricks Developer check below
Role 1: Azure Databricks Developer
Experience: 6 TO 8 Years
Location: Hyderabad
Job Description:
- Solid hands-on experience with Azure Databricks, PySpark, and Spark SQL.
- Strong experience with Azure Data Factory (ADF).
- Expertise in Python and SQL.
- Strong knowledge of Delta Lake and Lakehouse Architecture.
- Good understanding of Azure Data Lake Storage (ADLS Gen2).
- Strong knowledge of data warehousing concepts and ETL/ELT best practices.
- Experience with Shell Scripting and core Data Engineering concepts.
- Experience building large-scale distributed data pipelines.
- Proficiency in data modeling techniques.
- Familiarity with Kafka/Event Hub is an added advantage.
- Experience across the Azure ecosystem.
- Exposure to Azure Synapse Analytics.
- Experience with CI/CD pipelines, Git version control, and SDLC.
- Strong understanding of data engineering and cloud-based data solutions.
- Technical Writer experience is desirable.
Role 2 : Senior Azure Databricks Developer
Experience: 8 TO 10 Years
Location: Chennai
Job Description:
- Design and implement data pipelines in Azure Databricks for ingesting and transforming data from upstream systems such as SAP, PIPS, and POS into WFM and UKG.
- Optimize ETL/ELT workflows for performance, scalability, and reliability.
- Collaborate with Java/API developers to integrate event-driven triggers into data pipelines.
- Implement data quality checks, schema validation, and error handling.
- Support both batch and near-real-time data flows for operational and analytics use cases.
- Work closely with Boomi and WFM teams to ensure data contracts and canonical models are properly enforced.
- Strong hands-on expertise in Microsoft Azure, Databricks, and PySpark.
- Develop scalable and reliable data engineering solutions using Azure Databricks.
- Troubleshoot and optimize data pipelines to meet performance and business requirements.
📌 Azure Databricks Developer (Hyderabad)
🏢 Cerebra
📍 Hyderabad