Azure Databricks Engineer

Your Role

• As a senior software engineer with Capgemini, you should have 4 + years of experience in Azure Databricks Engineer with strong project track recordStrong customer orientation, decision making, problem solving, communication and presentation skills.
• Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions.
• Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies.
• Strong executive presence and spirit.
• Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority.

Your Profile

• Design and develop end-to-end data pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB). 
• Work with Azure SQL Database, Azure SQL Data Warehouse, and Azure Synapse Analytics. 
• Develop data processing solutions using Python, PySpark, Scala, and Hive. 
• Build and maintain distributed data workflows on Azure Databricks. 
• Implement CI/CD pipelines for data applications. 
• Collaborate with teams to gather requirements and deliver high-quality data solutions. 
• Ensure data quality, performance tuning, and cloud data architecture best practices. 

What you’ll love about working here

• You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
• You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry’s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.