Job Description
**mandatory
SN
Required Information
Details
1
Role**
GCP Data Engineer
2
Required Technical Skill Set**
Data Engineer with hands-on experience in Google Cloud Platform
(GCP) services to work on implementing and managing data ingestion.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations
3
No of Requirements**
60+
4
Desired Experience Range**
5-12 Years
5
Location of Requirement
Pune, Hyderabad, Bangalore, Chennai, Gurgaon
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
5+ years of experience as a Data Engineer or in a similar role.
Strong working knowledge of Google Cloud Storage (GCS), BigQuery,
Composer, Data Fusion, Dataproc.
Proficiency in Python for scripting, debugging, and automation tasks.
Experience with Terraform for infrastructure-as-code.
Knowledge of Git for version control.
Understanding of data ingestion concepts, file formats, and ETL workflows.
Ability to debug and resolve runtime data issues independently.
Strong problem-solving and analytical skills.
Good-to-Have
Exposure to TWSd or other enterprise job schedulers.
Basic understanding of SQL optimization in BigQuery.
SN
Responsibility of / Expectations from the Role
Configure and execute data ingestion pipelines using our reusable GCP-based
framework.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations.
Strong experience in data engineering/migration projects in GCP (along with Python) is required and should be able to work independently.
Manage parameters, job configurations, and metadata for ingestion.
Debug and resolve issues related to data, parameters, and job execution.
Escalate framework-related bugs to the core development team when required.
Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
Collaborate with cross-functional teams for smooth delivery.
Follow version control best practices using Git.
Maintain deployment scripts and infrastructure configurations via Terraform.
(Nice-to-have) Work with TWSd job scheduling/monitoring tools.
Suggest improvements to the framework or processes based on usage
experience.
Contribute to small enhancements in the framework, where applicable.
Job Description
**mandatory
SN
Required Information
Details
1
Role**
GCP Data Engineer
2
Required Technical Skill Set**
Data Engineer with hands-on experience in Google Cloud Platform
(GCP) services to work on implementing and managing data ingestion.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations
3
No of Requirements**
60+
4
Desired Experience Range**
5-12 Years
5
Location of Requirement
Pune, Hyderabad, Bangalore, Chennai, Gurgaon
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
5+ years of experience as a Data Engineer or in a similar role.
Strong working knowledge of Google Cloud Storage (GCS), BigQuery,
Composer, Data Fusion, Dataproc.
Proficiency in Python for scripting, debugging, and automation tasks.
Experience with Terraform for infrastructure-as-code.
Knowledge of Git for version control.
Understanding of data ingestion concepts, file formats, and ETL workflows.
Ability to debug and resolve runtime data issues independently.
Strong problem-solving and analytical skills.
Good-to-Have
Exposure to TWSd or other enterprise job schedulers.
Basic understanding of SQL optimization in BigQuery.
SN
Responsibility of / Expectations from the Role
Configure and execute data ingestion pipelines using our reusable GCP-based
framework.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations.
Strong experience in data engineering/migration projects in GCP (along with Python) is required and should be able to work independently.
Manage parameters, job configurations, and metadata for ingestion.
Debug and resolve issues related to data, parameters, and job execution.
Escalate framework-related bugs to the core development team when required.
Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
Collaborate with cross-functional teams for smooth delivery.
Follow version control best practices using Git.
Maintain deployment scripts and infrastructure configurations via Terraform.
(Nice-to-have) Work with TWSd job scheduling/monitoring tools.
Suggest improvements to the framework or processes based on usage
experience.
Contribute to small enhancements in the framework, where applicable.
Job Description
**mandatory
SN
Required Information
Details
1
Role**
GCP Data Engineer
2
Required Technical Skill Set**
Data Engineer with hands-on experience in Google Cloud Platform
(GCP) services to work on implementing and managing data ingestion.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations
3
No of Requirements**
60+
4
Desired Experience Range**
5-12 Years
5
Location of Requirement
Pune, Hyderabad, Bangalore, Chennai, Gurgaon
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
5+ years of experience as a Data Engineer or in a similar role.
Strong working knowledge of Google Cloud Storage (GCS), BigQuery,
Composer, Data Fusion, Dataproc.
Proficiency in Python for scripting, debugging, and automation tasks.
Experience with Terraform for infrastructure-as-code.
Knowledge of Git for version control.
Understanding of data ingestion concepts, file formats, and ETL workflows.
Ability to debug and resolve runtime data issues independently.
Strong problem-solving and analytical skills.
Good-to-Have
Exposure to TWSd or other enterprise job schedulers.
Basic understanding of SQL optimization in BigQuery.
SN
Responsibility of / Expectations from the Role
Configure and execute data ingestion pipelines using our reusable GCP-based
framework.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations.
Strong experience in data engineering/migration projects in GCP (along with Python) is required and should be able to work independently.
Manage parameters, job configurations, and metadata for ingestion.
Debug and resolve issues related to data, parameters, and job execution.
Escalate framework-related bugs to the core development team when required.
Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
Collaborate with cross-functional teams for smooth delivery.
Follow version control best practices using Git.
Maintain deployment scripts and infrastructure configurations via Terraform.
(Nice-to-have) Work with TWSd job scheduling/monitoring tools.
Suggest improvements to the framework or processes based on usage
experience.
Contribute to small enhancements in the framework, where applicable.
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