Role:
Senior Data Engineer
Employment:
Permanent Role
Experience:
7+ years
Location:
Sydney, Australia – Hybrid
Eligibility:
Candidates must have the right to work in Australia (Citizen, PR, Valid Visa holders).
Key Responsibilities
Design, build, and maintain scalable data pipelines and data platforms on AWS to support analytics and reporting use cases.
Develop and optimize data models (conceptual, logical, and physical) to ensure high-performance data storage and retrieval.
Implement and manage ETL/ELT processes using AWS services such as Glue, EMR, Redshift, and Iceberg.
Collaborate with stakeholders to understand data requirements, ensure data quality, and deliver reliable, well-documented solutions.
Establish CI/CD pipelines, automation, and testing frameworks to support secure, reliable, and scalable data engineering practices.
Required Skills \& Experience
Proven experience as a Data Engineer with strong analytical, problem-solving, documentation, and communication skills.
Strong expertise in SQL, database design, indexing, normalization, and performance optimization.
Hands-on experience with AWS cloud services for data storage and processing (S3, RDS, Redshift, Glue, Iceberg) and Python/Spark.
Experience with data warehousing, BI, and ETL tools (Glue, EMR, Ab Initio) and visualization tools such as Power BI, Tableau, or QuickSight.
Strong knowledge of CI/CD, DevSecOps, Agile practices, automation, and test management tools (GitHub Actions, Jenkins, JIRA, Octopus, etc.).
Please drop your CV to:
vanshitha@kaizenglobaltechnologies.com