GCP - Bigquery Developer
- Leading Client
- 6 - 10 years
- Hyderabad
- 22 days ago
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Job Description
Mandatory skill : ETL_GCP_BigqueryDevelop, implement, and optimize ETL/ELT pipelines for processing large datasets efficiently.
Work extensively with BigQuery for data processing, querying, and optimization.
Utilize Cloud Storage, Cloud Logging, Dataproc, and Pub/Sub for data ingestion, storage, and event-driven processing.
Perform performance tuning and testing of the ELT platform to ensure high efficiency and scalability.
Debug technical issues, perform root cause analysis, and provide solutions for production incidents.
Ensure data quality, accuracy, and integrity across data pipelines.
Collaborate with cross-functional teams to define technical requirements and deliver solutions.
Work independently on assigned tasks while maintaining high levels of productivity and efficiency.
Skills Required:
Proficiency in SQL and PL/SQL for querying and manipulating data.
Experience in Python for data processing and automation.
Hands-on experience with Google Cloud Platform (GCP), particularly:
o BigQuery (must-have)
o Cloud Storage
o Cloud Logging
o Dataproc
o Pub/Sub
Experience with GitHub and CI/CD pipelines for automation and deployment.
Performance tuning and performance testing of ELT processes.
Strong analytical and debugging skills to resolve data and pipeline issues efficiently.
Self-motivated and able to work independently as an individual contributor.
Good understanding of data modeling, database design, and data warehousing concepts.
Work extensively with BigQuery for data processing, querying, and optimization.
Utilize Cloud Storage, Cloud Logging, Dataproc, and Pub/Sub for data ingestion, storage, and event-driven processing.
Perform performance tuning and testing of the ELT platform to ensure high efficiency and scalability.
Debug technical issues, perform root cause analysis, and provide solutions for production incidents.
Ensure data quality, accuracy, and integrity across data pipelines.
Collaborate with cross-functional teams to define technical requirements and deliver solutions.
Work independently on assigned tasks while maintaining high levels of productivity and efficiency.
Skills Required:
Proficiency in SQL and PL/SQL for querying and manipulating data.
Experience in Python for data processing and automation.
Hands-on experience with Google Cloud Platform (GCP), particularly:
o BigQuery (must-have)
o Cloud Storage
o Cloud Logging
o Dataproc
o Pub/Sub
Experience with GitHub and CI/CD pipelines for automation and deployment.
Performance tuning and performance testing of ELT processes.
Strong analytical and debugging skills to resolve data and pipeline issues efficiently.
Self-motivated and able to work independently as an individual contributor.
Good understanding of data modeling, database design, and data warehousing concepts.
Job Classification
Industry: Recruitment / StaffingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: Leading ClientLocation(s): Hyderabad+ View Contact
Keyskills: ETL BigQuery GitHub Google Cloud Platform Cloud CI/CD
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