Data Engineer with Databricks, Azure and Power BI (DAX) Skills

Description

Total relevant experience in Data Engineering should be 6-8 yrs.

Must have good knowledge on Azure Databricks, Azure Datalake and Power BI including DAX skills.

Should have good Power BI Experience which includes -

• Strong Data modelling skills.
• Expert in Tabular model design.
• Expert in writing complex DAX formulas.
• Hands on experience in DAX optimization
  
  

Strong knowledge on the DWBI with SQL.

Experience of working with On-premise/cloud BI solution implementation.

Good knowledge in Python.

Good to have these skills in Databricks -

• Understanding of AI capabilities.
• Unity Catalog - Implementation
• AI/BI Genie
• DevOps
  
  

Power Automate (Good to have)

Department

Regional Apps - APCNJP - AP Platforms - G3A

Open Positions

1

Skills Required

Data Bricks, power bi, Azure Data Lake, SQL Development, Python

Role

• Design, develop, and maintain data pipelines and ETL processes using Azure Databricks
• Collaborate with business analysts to understand and meet business requirements for data and analytics
• Develop and optimize data models and visualizations using Power BI (DAX) to present meaningful insights to stakeholders
• Implement best practices for data governance, security, and compliance in Azure environments
• Monitor and troubleshoot data pipelines, ensuring data integrity and reliability
• Stay abreast of the latest trends and technologies in data engineering and analytics
• Provide technical guidance and mentorship to junior members of the team
  
  

Location

Bengaluru

Education/Qualification

B Tech

Desirable Skills

Azure Databricks, Azure Datalake, Power BI with Dax, SQL, Python

Years Of Exp

6 to 8 years

Designation

Technical Specialist