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 productive 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).




Robust 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).

📌 Senior Sql Developer Sydney
🏢 CareCone Group
📍 Sydney