Role & responsibilities

Tiger Analytics is a global AI and Analytics company helping Fortune 1000 organizations build data-driven solutions using contemporary 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

Preferred Skills

- Azure Synapse Analytics
- Unity Catalog
- Delta Live Tables (DLT)
- Kafka/Event Hubs
- Azure DevOps
- CI/CD
- Databricks Workflows

Experience 46 Years

Employment Type

Full-Time

Preferred candidate profile

📌 Databricks Data Engineer | Azure | PySpark (Bengaluru)
🏢 Tiger Analytics
📍 Bengaluru