Data Engineer (AWS Cloud)

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, collaborative environment.

Please drop your CV to: