Posted 27 May, 2026
Google BigQuery
NR Consulting - India
Hyderabad, Telangana, IN
Full Time
Reference: 26-05485-2220-1
Title: Google BigQuery
Location: Hyderabad
Exp: 5+ yrs
Job Description:
Must Have (Core – Applicable Across Most BigQuery Demands)
These are the explicit Must To Have Skills and core role expectations captured in the internal JD.
Proficiency in Google BigQuery
Experience with data warehousing concepts and ETL processes
Strong understanding of SQL and database management
Familiarity with cloud computing platforms and services
Ability to troubleshoot and optimize performance issues in data processing
Ability to work independently, participate in team discussions, contribute solutions, collaborate cross functionally, and perform code reviews (role expectations in the JD)
Good to Have (Commonly Requested, Not Universal)
These are commonly valuable enrichers you can add when demands expect broader hands on operational rigor or cost/performance awareness.
Cost/usage visibility practices such as monitoring usage patterns and optimizing large result set handling (covered as best practices in internal collateral)
Awareness of standardization/optimization approaches for improving performance and reducing waste in BigQuery workloads (captured in internal optimization collateral)
Note: The JD excerpt itself does not explicitly label a Good to Have list for BigQuery the items above are supported by internal best practice collateral to strengthen deployability.
Location: Hyderabad
Exp: 5+ yrs
Job Description:
Must Have (Core – Applicable Across Most BigQuery Demands)
These are the explicit Must To Have Skills and core role expectations captured in the internal JD.
Proficiency in Google BigQuery
Experience with data warehousing concepts and ETL processes
Strong understanding of SQL and database management
Familiarity with cloud computing platforms and services
Ability to troubleshoot and optimize performance issues in data processing
Ability to work independently, participate in team discussions, contribute solutions, collaborate cross functionally, and perform code reviews (role expectations in the JD)
Good to Have (Commonly Requested, Not Universal)
These are commonly valuable enrichers you can add when demands expect broader hands on operational rigor or cost/performance awareness.
Cost/usage visibility practices such as monitoring usage patterns and optimizing large result set handling (covered as best practices in internal collateral)
Awareness of standardization/optimization approaches for improving performance and reducing waste in BigQuery workloads (captured in internal optimization collateral)
Note: The JD excerpt itself does not explicitly label a Good to Have list for BigQuery the items above are supported by internal best practice collateral to strengthen deployability.
