GCP Data Engineer
Capgemini
GCP Data Engineer
Job Description
GCP Data Engineer
📋 Job Overview
Capgemini is seeking a GCP Data Engineer with at least 5 years of experience, including 3 years in GCP data engineering, to design and implement data pipelines using GCP services. The role involves handling big data, ETL/ELT processes, and working with tools like BigQuery, Dataflow, and Airflow in an Agile environment. Join a global team to drive technology solutions for leading organizations, with opportunities for career growth and comprehensive wellness support.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Develop and manage data pipelines using GCP tools like Dataflow and Dataproc
- Handle ETL/ELT processes and data movement in big data environments
- Work with Fact and Dimension tables and implement SCD
- Collaborate in cross-team environments using Agile methodologies
- Utilize programming languages like Python, Java, or PySpark on GCP
✅ Required Qualifications
- 5+ years’ experience with minimum 3 years in GCP Data Engineering
- Strong experience in GCP Services and data engineering
- Programming experience in Python, Java, or PySpark
- Comprehensive knowledge of BigQuery, ETL, GCS, Airflow/Composer, SQL, Python
- Pipeline development experience using Dataflow or Dataproc
- Experience working with Fact and Dimension tables, SCD
- Experience handling big data
- Experience in Agile methodologies
- ETL, ELT skills, Data movement skills, Data processing skills
⭐ Preferred Qualifications
- Certification on Professional Google Cloud Data Engineer
- Experience with other GCP services or databases like Datastore, Bigtable, Spanner, Cloud Run, Cloud Functions
🛠️ Required Skills
- GCP Services
- BigQuery
- ETL
- GCS
- Airflow/Composer
- SQL
- Python
- Java
- PySpark
- Spark on GCP
- Dataflow
- Dataproc
- Fact and Dimension tables
- SCD
- Big data handling
- Agile methodologies
- Analytical skills
- Problem-solving attitude
- Cross-team collaboration
- Communication skills
- Datastore
- Bigtable
- Spanner
- Cloud Run
- Cloud Functions
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group
- Personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, new parent support via flexible work
- Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
Locations
- Bangalore, 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
- GCP Servicesintermediate
- BigQueryintermediate
- ETLintermediate
- GCSintermediate
- Airflow/Composerintermediate
- SQLintermediate
- Pythonintermediate
- Javaintermediate
- PySparkintermediate
- Spark on GCPintermediate
- Dataflowintermediate
- Dataprocintermediate
- Fact and Dimension tablesintermediate
- SCDintermediate
- Big data handlingintermediate
- Agile methodologiesintermediate
- Analytical skillsintermediate
- Problem-solving attitudeintermediate
- Cross-team collaborationintermediate
- Communication skillsintermediate
- Datastoreintermediate
- Bigtableintermediate
- Spannerintermediate
- Cloud Runintermediate
- Cloud Functionsintermediate
Required Qualifications
- 5+ years’ experience with minimum 3 years in GCP Data Engineering (experience)
- Strong experience in GCP Services and data engineering (experience)
- Programming experience in Python, Java, or PySpark (experience)
- Comprehensive knowledge of BigQuery, ETL, GCS, Airflow/Composer, SQL, Python (experience)
- Pipeline development experience using Dataflow or Dataproc (experience)
- Experience working with Fact and Dimension tables, SCD (experience)
- Experience handling big data (experience)
- Experience in Agile methodologies (experience)
- ETL, ELT skills, Data movement skills, Data processing skills (experience)
Preferred Qualifications
- Certification on Professional Google Cloud Data Engineer (experience)
- Experience with other GCP services or databases like Datastore, Bigtable, Spanner, Cloud Run, Cloud Functions (experience)
Responsibilities
- Develop and manage data pipelines using GCP tools like Dataflow and Dataproc
- Handle ETL/ELT processes and data movement in big data environments
- Work with Fact and Dimension tables and implement SCD
- Collaborate in cross-team environments using Agile methodologies
- Utilize programming languages like Python, Java, or PySpark on GCP
Benefits
- general: Range of career paths and internal opportunities within Capgemini group
- general: Personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, new parent support via flexible work
- general: Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
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GCP Data Engineer
Capgemini
GCP Data Engineer
Job Description
GCP Data Engineer
📋 Job Overview
Capgemini is seeking a GCP Data Engineer with at least 5 years of experience, including 3 years in GCP data engineering, to design and implement data pipelines using GCP services. The role involves handling big data, ETL/ELT processes, and working with tools like BigQuery, Dataflow, and Airflow in an Agile environment. Join a global team to drive technology solutions for leading organizations, with opportunities for career growth and comprehensive wellness support.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Develop and manage data pipelines using GCP tools like Dataflow and Dataproc
- Handle ETL/ELT processes and data movement in big data environments
- Work with Fact and Dimension tables and implement SCD
- Collaborate in cross-team environments using Agile methodologies
- Utilize programming languages like Python, Java, or PySpark on GCP
✅ Required Qualifications
- 5+ years’ experience with minimum 3 years in GCP Data Engineering
- Strong experience in GCP Services and data engineering
- Programming experience in Python, Java, or PySpark
- Comprehensive knowledge of BigQuery, ETL, GCS, Airflow/Composer, SQL, Python
- Pipeline development experience using Dataflow or Dataproc
- Experience working with Fact and Dimension tables, SCD
- Experience handling big data
- Experience in Agile methodologies
- ETL, ELT skills, Data movement skills, Data processing skills
⭐ Preferred Qualifications
- Certification on Professional Google Cloud Data Engineer
- Experience with other GCP services or databases like Datastore, Bigtable, Spanner, Cloud Run, Cloud Functions
🛠️ Required Skills
- GCP Services
- BigQuery
- ETL
- GCS
- Airflow/Composer
- SQL
- Python
- Java
- PySpark
- Spark on GCP
- Dataflow
- Dataproc
- Fact and Dimension tables
- SCD
- Big data handling
- Agile methodologies
- Analytical skills
- Problem-solving attitude
- Cross-team collaboration
- Communication skills
- Datastore
- Bigtable
- Spanner
- Cloud Run
- Cloud Functions
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group
- Personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, new parent support via flexible work
- Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
Locations
- Bangalore, 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
- GCP Servicesintermediate
- BigQueryintermediate
- ETLintermediate
- GCSintermediate
- Airflow/Composerintermediate
- SQLintermediate
- Pythonintermediate
- Javaintermediate
- PySparkintermediate
- Spark on GCPintermediate
- Dataflowintermediate
- Dataprocintermediate
- Fact and Dimension tablesintermediate
- SCDintermediate
- Big data handlingintermediate
- Agile methodologiesintermediate
- Analytical skillsintermediate
- Problem-solving attitudeintermediate
- Cross-team collaborationintermediate
- Communication skillsintermediate
- Datastoreintermediate
- Bigtableintermediate
- Spannerintermediate
- Cloud Runintermediate
- Cloud Functionsintermediate
Required Qualifications
- 5+ years’ experience with minimum 3 years in GCP Data Engineering (experience)
- Strong experience in GCP Services and data engineering (experience)
- Programming experience in Python, Java, or PySpark (experience)
- Comprehensive knowledge of BigQuery, ETL, GCS, Airflow/Composer, SQL, Python (experience)
- Pipeline development experience using Dataflow or Dataproc (experience)
- Experience working with Fact and Dimension tables, SCD (experience)
- Experience handling big data (experience)
- Experience in Agile methodologies (experience)
- ETL, ELT skills, Data movement skills, Data processing skills (experience)
Preferred Qualifications
- Certification on Professional Google Cloud Data Engineer (experience)
- Experience with other GCP services or databases like Datastore, Bigtable, Spanner, Cloud Run, Cloud Functions (experience)
Responsibilities
- Develop and manage data pipelines using GCP tools like Dataflow and Dataproc
- Handle ETL/ELT processes and data movement in big data environments
- Work with Fact and Dimension tables and implement SCD
- Collaborate in cross-team environments using Agile methodologies
- Utilize programming languages like Python, Java, or PySpark on GCP
Benefits
- general: Range of career paths and internal opportunities within Capgemini group
- general: Personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, new parent support via flexible work
- general: Access to industry's largest digital learning platform with 250,000+ courses and numerous certifications
Tags & Categories
Answer 10 quick questions to check your fit for GCP Data Engineer @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs