Design, develop, and optimize

complex SQL queries and views

in

Google BigQuery

for large-scale analytical workloads. Implement advanced transformations and aggregations using BigQuery’s capabilities (e.g., window functions, CTEs, partitioning). Collaborate with analysts and business stakeholders to translate requirements into efficient BigQuery solutions. Use

Python (Pandas)

for data wrangling and automation scripts where needed. Troubleshoot performance issues and optimize BigQuery query execution plans. Ensure compliance with data governance and security standards. Required Skills & Experience 12+ years

of hands‑on experience in

SQL development

(experience in PL/SQL or other RDBMS is acceptable). Solid expertise in

Google BigQuery





or similar cloud-based data warehouses is preferred but not mandatory Self starter with ability to interact with Onshore and deliver SQL solutions independently. Proven ability to write and optimize

complex SQL queries

for large datasets. Basic experience with

Python , especially

Pandas

for data manipulation. Solid understanding of

data modeling , partitioning, and performance tuning in BigQuery. Excellent problem‑solving and analytical skills Nice-to-Have Familiarity with

ETL tools

and data pipeline concepts. Exposure to

cloud platforms

(GCP preferred).

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📌 Senior SQL Developer (Haymarket)
🏢 CareCone Group
📍 Haymarket