Data Engineer - C
Capgemini
Data Engineer - C
Job Description
Data Engineer - C
📋 Job Overview
The Data Engineer - C role at Capgemini involves leading and managing a team of data engineers to build reliable and scalable data infrastructure. Responsibilities include overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders to deliver high-quality data solutions. This position drives data-driven objectives by unlocking the value of data assets for meaningful insights and decision-making.
📍 Location: Hyderabad
💼 Experience Level: Experienced Professionals
🏢 Business Unit: FS
🎯 Key Responsibilities
- Leading and managing a team of data engineers
- Overseeing data engineering projects
- Ensuring technical excellence
- Fostering collaboration with stakeholders
- Driving the success of data engineering initiatives
- Delivering reliable and high-quality data solutions
✅ Required Qualifications
- Experience in leading and managing teams of data engineers
- Background in overseeing data engineering projects
- Knowledge of ensuring technical excellence in data solutions
🛠️ Required Skills
- Ab Initio
- Agile (Software Development Framework)
- Apache Hadoop
- AWS Airflow
- AWS Athena
- AWS Code Pipeline
- AWS EFS
- AWS EMR
- AWS Redshift
- AWS S3
- Azure ADLS Gen2
- Azure Data Factory
- Azure Data Lake Storage
- Azure Databricks
- Azure Event Hub
- Azure Stream Analytics
- Azure Synapse
- Bitbucket
- Change Management
- Client Centricity
- Collaboration
- Continuous Integration and Continuous Delivery (CI/CD)
- Data Architecture Patterns
- Data Format Analysis
- Data Governance
- Data Modeling
- Data Validation
- Data Vault Modeling
- Database Schema Design
- Decision-Making
- DevOps
- Dimensional Modeling
- GCP Big Table
- GCP BigQuery
- GCP Cloud Storage
- GCP DataFlow
- GCP DataProc
- Git
- Google Big Table
- Google Data Proc
- Greenplum
- HQL
- IBM Data Stage
- IBM DB2
- Industry Standard Data Modeling (FSLDM)
- Industry Standard Data Modeling (IBM FSDM)
- Influencing
- Informatica IICS
- Inmon methodology
- JavaScript
- Jenkins
- Kimball
- Linux - Redhat
- Negotiation
- Netezza
- NewSQL
- Oracle Exadata
- Performance Tuning
- Perl
- Platform Update Management
- Project Management
- PySpark
- Python
- R
- RDD Optimization
- Santos
- SAS
- Scala Spark
- Shell Script
- Snowflake
- SPARK
- SPARK Code Optimization
- SQL
- Stakeholder Management
- Sun Solaris
- Synapse
- Talend
- Teradata
- Time Management
- Ubuntu
- Vendor Management
Locations
- Hyderabad, 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
- Ab Initiointermediate
- Agile (Software Development Framework)intermediate
- Apache Hadoopintermediate
- AWS Airflowintermediate
- AWS Athenaintermediate
- AWS Code Pipelineintermediate
- AWS EFSintermediate
- AWS EMRintermediate
- AWS Redshiftintermediate
- AWS S3intermediate
- Azure ADLS Gen2intermediate
- Azure Data Factoryintermediate
- Azure Data Lake Storageintermediate
- Azure Databricksintermediate
- Azure Event Hubintermediate
- Azure Stream Analyticsintermediate
- Azure Synapseintermediate
- Bitbucketintermediate
- Change Managementintermediate
- Client Centricityintermediate
- Collaborationintermediate
- Continuous Integration and Continuous Delivery (CI/CD)intermediate
- Data Architecture Patternsintermediate
- Data Format Analysisintermediate
- Data Governanceintermediate
- Data Modelingintermediate
- Data Validationintermediate
- Data Vault Modelingintermediate
- Database Schema Designintermediate
- Decision-Makingintermediate
- DevOpsintermediate
- Dimensional Modelingintermediate
- GCP Big Tableintermediate
- GCP BigQueryintermediate
- GCP Cloud Storageintermediate
- GCP DataFlowintermediate
- GCP DataProcintermediate
- Gitintermediate
- Google Big Tableintermediate
- Google Data Procintermediate
- Greenplumintermediate
- HQLintermediate
- IBM Data Stageintermediate
- IBM DB2intermediate
- Industry Standard Data Modeling (FSLDM)intermediate
- Industry Standard Data Modeling (IBM FSDM)intermediate
- Influencingintermediate
- Informatica IICSintermediate
- Inmon methodologyintermediate
- JavaScriptintermediate
- Jenkinsintermediate
- Kimballintermediate
- Linux - Redhatintermediate
- Negotiationintermediate
- Netezzaintermediate
- NewSQLintermediate
- Oracle Exadataintermediate
- Performance Tuningintermediate
- Perlintermediate
- Platform Update Managementintermediate
- Project Managementintermediate
- PySparkintermediate
- Pythonintermediate
- Rintermediate
- RDD Optimizationintermediate
- Santosintermediate
- SASintermediate
- Scala Sparkintermediate
- Shell Scriptintermediate
- Snowflakeintermediate
- SPARKintermediate
- SPARK Code Optimizationintermediate
- SQLintermediate
- Stakeholder Managementintermediate
- Sun Solarisintermediate
- Synapseintermediate
- Talendintermediate
- Teradataintermediate
- Time Managementintermediate
- Ubuntuintermediate
- Vendor Managementintermediate
Required Qualifications
- Experience in leading and managing teams of data engineers (experience)
- Background in overseeing data engineering projects (experience)
- Knowledge of ensuring technical excellence in data solutions (experience)
Responsibilities
- Leading and managing a team of data engineers
- Overseeing data engineering projects
- Ensuring technical excellence
- Fostering collaboration with stakeholders
- Driving the success of data engineering initiatives
- Delivering reliable and high-quality data solutions
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - C @ Capgemini.
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Data Engineer - C
Capgemini
Data Engineer - C
Job Description
Data Engineer - C
📋 Job Overview
The Data Engineer - C role at Capgemini involves leading and managing a team of data engineers to build reliable and scalable data infrastructure. Responsibilities include overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders to deliver high-quality data solutions. This position drives data-driven objectives by unlocking the value of data assets for meaningful insights and decision-making.
📍 Location: Hyderabad
💼 Experience Level: Experienced Professionals
🏢 Business Unit: FS
🎯 Key Responsibilities
- Leading and managing a team of data engineers
- Overseeing data engineering projects
- Ensuring technical excellence
- Fostering collaboration with stakeholders
- Driving the success of data engineering initiatives
- Delivering reliable and high-quality data solutions
✅ Required Qualifications
- Experience in leading and managing teams of data engineers
- Background in overseeing data engineering projects
- Knowledge of ensuring technical excellence in data solutions
🛠️ Required Skills
- Ab Initio
- Agile (Software Development Framework)
- Apache Hadoop
- AWS Airflow
- AWS Athena
- AWS Code Pipeline
- AWS EFS
- AWS EMR
- AWS Redshift
- AWS S3
- Azure ADLS Gen2
- Azure Data Factory
- Azure Data Lake Storage
- Azure Databricks
- Azure Event Hub
- Azure Stream Analytics
- Azure Synapse
- Bitbucket
- Change Management
- Client Centricity
- Collaboration
- Continuous Integration and Continuous Delivery (CI/CD)
- Data Architecture Patterns
- Data Format Analysis
- Data Governance
- Data Modeling
- Data Validation
- Data Vault Modeling
- Database Schema Design
- Decision-Making
- DevOps
- Dimensional Modeling
- GCP Big Table
- GCP BigQuery
- GCP Cloud Storage
- GCP DataFlow
- GCP DataProc
- Git
- Google Big Table
- Google Data Proc
- Greenplum
- HQL
- IBM Data Stage
- IBM DB2
- Industry Standard Data Modeling (FSLDM)
- Industry Standard Data Modeling (IBM FSDM)
- Influencing
- Informatica IICS
- Inmon methodology
- JavaScript
- Jenkins
- Kimball
- Linux - Redhat
- Negotiation
- Netezza
- NewSQL
- Oracle Exadata
- Performance Tuning
- Perl
- Platform Update Management
- Project Management
- PySpark
- Python
- R
- RDD Optimization
- Santos
- SAS
- Scala Spark
- Shell Script
- Snowflake
- SPARK
- SPARK Code Optimization
- SQL
- Stakeholder Management
- Sun Solaris
- Synapse
- Talend
- Teradata
- Time Management
- Ubuntu
- Vendor Management
Locations
- Hyderabad, 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
- Ab Initiointermediate
- Agile (Software Development Framework)intermediate
- Apache Hadoopintermediate
- AWS Airflowintermediate
- AWS Athenaintermediate
- AWS Code Pipelineintermediate
- AWS EFSintermediate
- AWS EMRintermediate
- AWS Redshiftintermediate
- AWS S3intermediate
- Azure ADLS Gen2intermediate
- Azure Data Factoryintermediate
- Azure Data Lake Storageintermediate
- Azure Databricksintermediate
- Azure Event Hubintermediate
- Azure Stream Analyticsintermediate
- Azure Synapseintermediate
- Bitbucketintermediate
- Change Managementintermediate
- Client Centricityintermediate
- Collaborationintermediate
- Continuous Integration and Continuous Delivery (CI/CD)intermediate
- Data Architecture Patternsintermediate
- Data Format Analysisintermediate
- Data Governanceintermediate
- Data Modelingintermediate
- Data Validationintermediate
- Data Vault Modelingintermediate
- Database Schema Designintermediate
- Decision-Makingintermediate
- DevOpsintermediate
- Dimensional Modelingintermediate
- GCP Big Tableintermediate
- GCP BigQueryintermediate
- GCP Cloud Storageintermediate
- GCP DataFlowintermediate
- GCP DataProcintermediate
- Gitintermediate
- Google Big Tableintermediate
- Google Data Procintermediate
- Greenplumintermediate
- HQLintermediate
- IBM Data Stageintermediate
- IBM DB2intermediate
- Industry Standard Data Modeling (FSLDM)intermediate
- Industry Standard Data Modeling (IBM FSDM)intermediate
- Influencingintermediate
- Informatica IICSintermediate
- Inmon methodologyintermediate
- JavaScriptintermediate
- Jenkinsintermediate
- Kimballintermediate
- Linux - Redhatintermediate
- Negotiationintermediate
- Netezzaintermediate
- NewSQLintermediate
- Oracle Exadataintermediate
- Performance Tuningintermediate
- Perlintermediate
- Platform Update Managementintermediate
- Project Managementintermediate
- PySparkintermediate
- Pythonintermediate
- Rintermediate
- RDD Optimizationintermediate
- Santosintermediate
- SASintermediate
- Scala Sparkintermediate
- Shell Scriptintermediate
- Snowflakeintermediate
- SPARKintermediate
- SPARK Code Optimizationintermediate
- SQLintermediate
- Stakeholder Managementintermediate
- Sun Solarisintermediate
- Synapseintermediate
- Talendintermediate
- Teradataintermediate
- Time Managementintermediate
- Ubuntuintermediate
- Vendor Managementintermediate
Required Qualifications
- Experience in leading and managing teams of data engineers (experience)
- Background in overseeing data engineering projects (experience)
- Knowledge of ensuring technical excellence in data solutions (experience)
Responsibilities
- Leading and managing a team of data engineers
- Overseeing data engineering projects
- Ensuring technical excellence
- Fostering collaboration with stakeholders
- Driving the success of data engineering initiatives
- Delivering reliable and high-quality data solutions
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - C @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs