Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Google BigQuery
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Google BigQuery
Summary:
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.
Depending on Client Needs (Demand-Specific / Program-Driven Overlays)
Add these selectively based on whether the client demand is more aligned to engineering, platform ops, migration, or analytics/BI enablement.
Client expectation for billing/usage dashboards and audit log analysis to manage BigQuery cost/consumption
Preference for standardization and workload optimization initiatives (e.g., performance/scalability, reducing scan waste) when the program is cost-sensitive or at scale
Upskilling/certification-aligned capability building (e.g., BigQuery monitoring, migrations, warehouse build, BigQuery ML) where the client expects formally badged skills
Experience
a: Should have Good Communication Skills and leadership skills.
b: Should have Good analytical skills and presentation skills.
c: Minimum 15 yrs. of full time educational is required.
15 years full time education
