Databricks + PySpark - Technical Lead-Data Engg

About the role

Develop and maintain scalable data pipelines and build new Data Source integrations to support increasing data volume and complexity. Developing Modern Data Warehouse solutions using Azure Stack ( Azure Data Lake , Azure Databricks) and PySpark Develop batch processing and integration solutions and process Structured and Non-Structured Data

What you'll do

• Develop and maintain scalable data pipelines and build new Data Source integrations to support increasing data volume and complexity
• Developing Modern Data Warehouse solutions using Azure Stack ( Azure Data Lake , Azure Databricks) and PySpark
• Develop batch processing and integration solutions and process Structured and Non-Structured Data
• Collaborate and engage with BI & analytics and the business team

What you need

• 2–3 years in data science & ai
• Databricks
• Spark
• SQL
• ETL
• Data warehousing
• Azure
• Any graduate