Full Stack Engineer

Project Role : Full Stack Engineer

Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.

Must have skills : Google BigQuery

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

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.