- 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).




- Strong 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).

#J-18808-Ljbffr

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