Experience Required- 9+ yrs

• Experience in Azure ADF, ADLS Gen2, Databricks, PySpark and SQL

• Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud

• Hands-on experience in Azure Databricks and PySpark

• Experience in Performance Tuning

• Experience with integration of different data sources with Data Warehouse and Data Lake is required

• Experience in creating Data warehouse, data lakes

• Understanding of data modelling and data architecture concepts

• To be able to clearly articulate pros and cons of various technologies and platforms

• Experience in supporting tools GitHub, Jira, Teams, Confluence need to be used

• Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms.

Mandatory Skillset: Azure Databricks, PySpark and SQL

📌 Azure Data Engineer_Surbhi's Track (Bengaluru)
🏢 TalentOla
📍 Bengaluru