Data Engineer

Employment: Contract, 6 Months (Extendable)
Experience: 5+ years
Location: Sydney, Australia - Hybrid
Eligibility: Candidates must have the right to work in Australia (Citizen, PR, Valid Visa holders).

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows across multiple data sources and platforms.
- Work extensively with AWS (S3, Glue, Lambda, Redshift), Snowflake, and Teradata for data integration and transformation.
- Develop and optimize complex SQL queries to ensure data accuracy, consistency, and high performance.
- Implement and maintain data models, schema designs, and performance tuning for large-scale data environments.
- Collaborate with data analysts, BI developers, and business stakeholders to deliver reliable and high-quality data solutions.
- Monitor, troubleshoot, and resolve data pipeline issues to ensure smooth operation and timely delivery.
- Contribute to best practices in data governance, security, and quality management.





Required Skills & Experience

- 5+ years of experience as a Data Engineer or similar role in large-scale data environments.
- Strong hands‑on expertise in AWS Cloud Services – S3, Glue, Lambda, Redshift.
- Proven experience with Snowflake, Teradata, and Redshift platforms.
- Proficiency in SQL and experience with ETL/ELT tools and data pipeline orchestration (e.g., Airflow, Step Functions).
- Solid understanding of data warehousing concepts, data modeling, and performance optimization.
- Familiarity with Python or Scala for scripting and automation is a strong advantage.
- Excellent analytical and problem‑solving skills, with a strong attention to detail.
- Ability to work effectively in a fast‑paced, cooperative environment.

Please drop your CV to: [email protected]

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📌 Data Engineer (AWS Cloud) (New South Wales)
🏢 Kaizen Global Technologies
📍 New South Wales