Data Engineer (C2)
Capgemini
Data Engineer (C2)
Job Description
Data Engineer (C2)
📋 Job Overview
The Data Engineer (C2) role at Capgemini involves designing and implementing data pipelines to support analytics and business intelligence initiatives. You will collaborate with cross-functional teams to ensure data quality, scalability, and integration across various platforms. This position offers opportunities to work on cutting-edge technologies in a dynamic environment.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and maintain scalable data pipelines using ETL processes
- Collaborate with data scientists to optimize data models and workflows
- Ensure data integrity, security, and compliance with industry standards
- Monitor and troubleshoot data systems for performance issues
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 3-5 years of experience in data engineering or related roles
- Proficiency in SQL and database management
⭐ Preferred Qualifications
- Master's degree in Data Science or Analytics
- Experience with cloud platforms like AWS or Azure
- Certification in ETL tools or big data technologies
🛠️ Required Skills
- Programming: Python, Java, Scala
- Databases: SQL, NoSQL, PostgreSQL, MongoDB
- ETL Tools: Apache Airflow, Talend, Informatica
- Big Data: Hadoop, Spark, Kafka
- Cloud: AWS, Azure, GCP
- Soft Skills: Problem-solving, teamwork, communication
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Health insurance and wellness programs
- Professional development opportunities and training
- Flexible work arrangements and remote options
- Employee stock purchase plan
Locations
- Bangalore, 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
- Programming: Python, Java, Scalaintermediate
- Databases: SQL, NoSQL, PostgreSQL, MongoDBintermediate
- ETL Tools: Apache Airflow, Talend, Informaticaintermediate
- Big Data: Hadoop, Spark, Kafkaintermediate
- Cloud: AWS, Azure, GCPintermediate
- Soft Skills: Problem-solving, teamwork, communicationintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 3-5 years of experience in data engineering or related roles (experience)
- Proficiency in SQL and database management (experience)
Preferred Qualifications
- Master's degree in Data Science or Analytics (experience)
- Experience with cloud platforms like AWS or Azure (experience)
- Certification in ETL tools or big data technologies (experience)
Responsibilities
- Develop and maintain scalable data pipelines using ETL processes
- Collaborate with data scientists to optimize data models and workflows
- Ensure data integrity, security, and compliance with industry standards
- Monitor and troubleshoot data systems for performance issues
Benefits
- general: Competitive salary and performance bonuses
- general: Health insurance and wellness programs
- general: Professional development opportunities and training
- general: Flexible work arrangements and remote options
- general: Employee stock purchase plan
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer (C2) @ Capgemini.
Related Books and Jobs
Data Engineer (C2)
Capgemini
Data Engineer (C2)
Job Description
Data Engineer (C2)
📋 Job Overview
The Data Engineer (C2) role at Capgemini involves designing and implementing data pipelines to support analytics and business intelligence initiatives. You will collaborate with cross-functional teams to ensure data quality, scalability, and integration across various platforms. This position offers opportunities to work on cutting-edge technologies in a dynamic environment.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and maintain scalable data pipelines using ETL processes
- Collaborate with data scientists to optimize data models and workflows
- Ensure data integrity, security, and compliance with industry standards
- Monitor and troubleshoot data systems for performance issues
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 3-5 years of experience in data engineering or related roles
- Proficiency in SQL and database management
⭐ Preferred Qualifications
- Master's degree in Data Science or Analytics
- Experience with cloud platforms like AWS or Azure
- Certification in ETL tools or big data technologies
🛠️ Required Skills
- Programming: Python, Java, Scala
- Databases: SQL, NoSQL, PostgreSQL, MongoDB
- ETL Tools: Apache Airflow, Talend, Informatica
- Big Data: Hadoop, Spark, Kafka
- Cloud: AWS, Azure, GCP
- Soft Skills: Problem-solving, teamwork, communication
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Health insurance and wellness programs
- Professional development opportunities and training
- Flexible work arrangements and remote options
- Employee stock purchase plan
Locations
- Bangalore, 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
- Programming: Python, Java, Scalaintermediate
- Databases: SQL, NoSQL, PostgreSQL, MongoDBintermediate
- ETL Tools: Apache Airflow, Talend, Informaticaintermediate
- Big Data: Hadoop, Spark, Kafkaintermediate
- Cloud: AWS, Azure, GCPintermediate
- Soft Skills: Problem-solving, teamwork, communicationintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 3-5 years of experience in data engineering or related roles (experience)
- Proficiency in SQL and database management (experience)
Preferred Qualifications
- Master's degree in Data Science or Analytics (experience)
- Experience with cloud platforms like AWS or Azure (experience)
- Certification in ETL tools or big data technologies (experience)
Responsibilities
- Develop and maintain scalable data pipelines using ETL processes
- Collaborate with data scientists to optimize data models and workflows
- Ensure data integrity, security, and compliance with industry standards
- Monitor and troubleshoot data systems for performance issues
Benefits
- general: Competitive salary and performance bonuses
- general: Health insurance and wellness programs
- general: Professional development opportunities and training
- general: Flexible work arrangements and remote options
- general: Employee stock purchase plan
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer (C2) @ Capgemini.
Related Books and Jobs