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.

-

Robust 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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