Azure Data Engineer
Capgemini
Azure Data Engineer
Job Description
Azure Data Engineer
📋 Job Overview
The Azure Data Engineer role at Capgemini Invent involves building and optimizing data pipelines and scalable architectures on the Azure Cloud Platform. The position requires collaboration with data scientists, analysts, and developers to deliver high-quality data solutions while ensuring data quality, governance, and security. Responsibilities also include supporting advanced analytics and machine learning workflows on Azure.
📍 Location: Kolkata (ex Calcutta)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Build and optimize data pipelines
- Design scalable architectures on Azure Cloud Platform
- Collaborate with data scientists, analysts, and developers to deliver high-quality data solutions
- Ensure data quality, governance, and security across pipelines and storage layers
- Implement data transformation processes
- Metadata management
- Workload optimization
- Support advanced analytics and machine learning workflows on Azure
✅ Required Qualifications
- 6–10 years of experience as an Azure Cloud Data Engineer
🛠️ Required Skills
- Azure services: Data Lake, Functions, Databricks, Data Factory, ADLS, Azure DevOps
- Python
- PySpark
- SQL (including query optimization)
- Big data tools: Hadoop, Spark, Kafka
- Relational databases
- NoSQL databases
- Problem-solving skills
- Communication skills
- Collaboration skills
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours
- Environment to maintain healthy work-life balance
- Career growth programs and diverse professional opportunities
- Valuable certifications in latest technologies such as Generative AI
Locations
- Kolkata (ex Calcutta), India
Salary
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 services: Data Lake, Functions, Databricks, Data Factory, ADLS, Azure DevOpsintermediate
- Pythonintermediate
- PySparkintermediate
- SQL (including query optimization)intermediate
- Big data tools: Hadoop, Spark, Kafkaintermediate
- Relational databasesintermediate
- NoSQL databasesintermediate
- Problem-solving skillsintermediate
- Communication skillsintermediate
- Collaboration skillsintermediate
Required Qualifications
- 6–10 years of experience as an Azure Cloud Data Engineer (experience)
Responsibilities
- Build and optimize data pipelines
- Design scalable architectures on Azure Cloud Platform
- Collaborate with data scientists, analysts, and developers to deliver high-quality data solutions
- Ensure data quality, governance, and security across pipelines and storage layers
- Implement data transformation processes
- Metadata management
- Workload optimization
- Support advanced analytics and machine learning workflows on Azure
Benefits
- general: Flexible work arrangements including remote work and flexible hours
- general: Environment to maintain healthy work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Valuable certifications in latest technologies such as Generative AI
Tags & Categories
Answer 10 quick questions to check your fit for Azure Data Engineer @ Capgemini.
Related Books and Jobs
Azure Data Engineer
Capgemini
Azure Data Engineer
Job Description
Azure Data Engineer
📋 Job Overview
The Azure Data Engineer role at Capgemini Invent involves building and optimizing data pipelines and scalable architectures on the Azure Cloud Platform. The position requires collaboration with data scientists, analysts, and developers to deliver high-quality data solutions while ensuring data quality, governance, and security. Responsibilities also include supporting advanced analytics and machine learning workflows on Azure.
📍 Location: Kolkata (ex Calcutta)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Build and optimize data pipelines
- Design scalable architectures on Azure Cloud Platform
- Collaborate with data scientists, analysts, and developers to deliver high-quality data solutions
- Ensure data quality, governance, and security across pipelines and storage layers
- Implement data transformation processes
- Metadata management
- Workload optimization
- Support advanced analytics and machine learning workflows on Azure
✅ Required Qualifications
- 6–10 years of experience as an Azure Cloud Data Engineer
🛠️ Required Skills
- Azure services: Data Lake, Functions, Databricks, Data Factory, ADLS, Azure DevOps
- Python
- PySpark
- SQL (including query optimization)
- Big data tools: Hadoop, Spark, Kafka
- Relational databases
- NoSQL databases
- Problem-solving skills
- Communication skills
- Collaboration skills
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours
- Environment to maintain healthy work-life balance
- Career growth programs and diverse professional opportunities
- Valuable certifications in latest technologies such as Generative AI
Locations
- Kolkata (ex Calcutta), India
Salary
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 services: Data Lake, Functions, Databricks, Data Factory, ADLS, Azure DevOpsintermediate
- Pythonintermediate
- PySparkintermediate
- SQL (including query optimization)intermediate
- Big data tools: Hadoop, Spark, Kafkaintermediate
- Relational databasesintermediate
- NoSQL databasesintermediate
- Problem-solving skillsintermediate
- Communication skillsintermediate
- Collaboration skillsintermediate
Required Qualifications
- 6–10 years of experience as an Azure Cloud Data Engineer (experience)
Responsibilities
- Build and optimize data pipelines
- Design scalable architectures on Azure Cloud Platform
- Collaborate with data scientists, analysts, and developers to deliver high-quality data solutions
- Ensure data quality, governance, and security across pipelines and storage layers
- Implement data transformation processes
- Metadata management
- Workload optimization
- Support advanced analytics and machine learning workflows on Azure
Benefits
- general: Flexible work arrangements including remote work and flexible hours
- general: Environment to maintain healthy work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Valuable certifications in latest technologies such as Generative AI
Tags & Categories
Answer 10 quick questions to check your fit for Azure Data Engineer @ Capgemini.
Related Books and Jobs