Tiger Analytics is a global AI and Analytics company helping Fortune 1000 organizations build data-driven solutions using modern cloud technologies.
We are looking for skilled Databricks Data Engineers with strong expertise in Azure Data Engineering to build scalable, high-performance data platforms and pipelines.
Key Responsibilities
- Design and develop scalable ETL/ELT pipelines using Azure Databricks.
- Build data ingestion and transformation frameworks for batch and streaming data.
- Develop data pipelines using PySpark, Azure Data Factory, and ADLS Gen2.
- Implement Delta Lake and Lakehouse architecture.
- Optimize Spark jobs for performance and scalability.
- Build logging, monitoring, and exception handling frameworks.
- Collaborate with Data Architects, Data Scientists, and Business teams.
Required Skills
- Azure Databricks
- PySpark
- Python
- SQL
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS Gen2)
- Delta Lake
- Spark SQL
- ETL/ELT Development
- Data Engineering