Tiger Analytics is a global AI and Analytics company helping Fortune 1000 organizations build data-driven solutions using up-to-date cloud technologies.
We are looking for skilled Databricks Data Engineers with solid 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