Azure Fabric Data Engineer
Capgemini
Azure Fabric Data Engineer
Job Description
Azure Fabric Data Engineer
📋 Job Overview
The Azure Fabric Data Engineer role at Capgemini involves designing, developing, and maintaining data pipelines using Azure technologies like Data Factory, Databricks, and Synapse, with a focus on Microsoft Fabric. Responsibilities include implementing ETL solutions, processing data with SQL, Python, and PySpark, and building Power BI dashboards with advanced DAX and security features. This position supports global organizations in unlocking technology value for sustainable and inclusive outcomes.
📍 Location: Mumbai (ex Bombay)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse
- Implement ETL solutions to integrate data from various sources into Azure Data Lake and Data Warehouse
- Expertise in building Power BI dashboards and reports
- Develop Power BI datasets, semantic models, and row-level security for data access control
✅ Required Qualifications
- Experience on Azure Data Factory, Azure Databricks, and Azure Synapse
- Hands-on experience with SQL, Python, PySpark for data processing
- Strong 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 entrepreneurial spirit
- Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority
⭐ Preferred Qualifications
- Certifications: Fabric DP-700 & DP-600 certification
🛠️ Required Skills
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Microsoft Fabric
- Data Governance principles and practices
- ETL solutions
- Azure Data Lake
- Data Warehouse
- SQL
- Python
- PySpark
- Power BI dashboards and reports
- DAX
- Power Query
- Power BI Service
- Gateways
- Embedding reports
- Power BI datasets
- Semantic models
- Row-level security
- Customer orientation
- Decision making
- Problem solving
- Communication
- Presentation skills
- Judgement skills
- Collaboration skills
- Leadership
- Team building
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group with personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
Locations
- Mumbai (ex Bombay), India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Azure Data Factoryintermediate
- Azure Databricksintermediate
- Azure Synapseintermediate
- Microsoft Fabricintermediate
- Data Governance principles and practicesintermediate
- ETL solutionsintermediate
- Azure Data Lakeintermediate
- Data Warehouseintermediate
- SQLintermediate
- Pythonintermediate
- PySparkintermediate
- Power BI dashboards and reportsintermediate
- DAXintermediate
- Power Queryintermediate
- Power BI Serviceintermediate
- Gatewaysintermediate
- Embedding reportsintermediate
- Power BI datasetsintermediate
- Semantic modelsintermediate
- Row-level securityintermediate
- Customer orientationintermediate
- Decision makingintermediate
- Problem solvingintermediate
- Communicationintermediate
- Presentation skillsintermediate
- Judgement skillsintermediate
- Collaboration skillsintermediate
- Leadershipintermediate
- Team buildingintermediate
Required Qualifications
- Experience on Azure Data Factory, Azure Databricks, and Azure Synapse (experience)
- Hands-on experience with SQL, Python, PySpark for data processing (experience)
- Strong customer orientation, decision making, problem solving, communication and presentation skills (experience)
- Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions (experience)
- Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies (experience)
- Strong executive presence and entrepreneurial spirit (experience)
- Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority (experience)
Preferred Qualifications
- Certifications: Fabric DP-700 & DP-600 certification (experience)
Responsibilities
- Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse
- Implement ETL solutions to integrate data from various sources into Azure Data Lake and Data Warehouse
- Expertise in building Power BI dashboards and reports
- Develop Power BI datasets, semantic models, and row-level security for data access control
Benefits
- general: Range of career paths and internal opportunities within Capgemini group with personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
Tags & Categories
Azure Fabric Data Engineer
Capgemini
Azure Fabric Data Engineer
Job Description
Azure Fabric Data Engineer
📋 Job Overview
The Azure Fabric Data Engineer role at Capgemini involves designing, developing, and maintaining data pipelines using Azure technologies like Data Factory, Databricks, and Synapse, with a focus on Microsoft Fabric. Responsibilities include implementing ETL solutions, processing data with SQL, Python, and PySpark, and building Power BI dashboards with advanced DAX and security features. This position supports global organizations in unlocking technology value for sustainable and inclusive outcomes.
📍 Location: Mumbai (ex Bombay)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse
- Implement ETL solutions to integrate data from various sources into Azure Data Lake and Data Warehouse
- Expertise in building Power BI dashboards and reports
- Develop Power BI datasets, semantic models, and row-level security for data access control
✅ Required Qualifications
- Experience on Azure Data Factory, Azure Databricks, and Azure Synapse
- Hands-on experience with SQL, Python, PySpark for data processing
- Strong 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 entrepreneurial spirit
- Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority
⭐ Preferred Qualifications
- Certifications: Fabric DP-700 & DP-600 certification
🛠️ Required Skills
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Microsoft Fabric
- Data Governance principles and practices
- ETL solutions
- Azure Data Lake
- Data Warehouse
- SQL
- Python
- PySpark
- Power BI dashboards and reports
- DAX
- Power Query
- Power BI Service
- Gateways
- Embedding reports
- Power BI datasets
- Semantic models
- Row-level security
- Customer orientation
- Decision making
- Problem solving
- Communication
- Presentation skills
- Judgement skills
- Collaboration skills
- Leadership
- Team building
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group with personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
Locations
- Mumbai (ex Bombay), India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Azure Data Factoryintermediate
- Azure Databricksintermediate
- Azure Synapseintermediate
- Microsoft Fabricintermediate
- Data Governance principles and practicesintermediate
- ETL solutionsintermediate
- Azure Data Lakeintermediate
- Data Warehouseintermediate
- SQLintermediate
- Pythonintermediate
- PySparkintermediate
- Power BI dashboards and reportsintermediate
- DAXintermediate
- Power Queryintermediate
- Power BI Serviceintermediate
- Gatewaysintermediate
- Embedding reportsintermediate
- Power BI datasetsintermediate
- Semantic modelsintermediate
- Row-level securityintermediate
- Customer orientationintermediate
- Decision makingintermediate
- Problem solvingintermediate
- Communicationintermediate
- Presentation skillsintermediate
- Judgement skillsintermediate
- Collaboration skillsintermediate
- Leadershipintermediate
- Team buildingintermediate
Required Qualifications
- Experience on Azure Data Factory, Azure Databricks, and Azure Synapse (experience)
- Hands-on experience with SQL, Python, PySpark for data processing (experience)
- Strong customer orientation, decision making, problem solving, communication and presentation skills (experience)
- Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions (experience)
- Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies (experience)
- Strong executive presence and entrepreneurial spirit (experience)
- Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority (experience)
Preferred Qualifications
- Certifications: Fabric DP-700 & DP-600 certification (experience)
Responsibilities
- Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse
- Implement ETL solutions to integrate data from various sources into Azure Data Lake and Data Warehouse
- Expertise in building Power BI dashboards and reports
- Develop Power BI datasets, semantic models, and row-level security for data access control
Benefits
- general: Range of career paths and internal opportunities within Capgemini group with personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
Tags & Categories