Now Hiring: Staff Data Engineer (AWS Glue)
Employment: Fulltime
Experience: 5+ years
Location: Sydney, Australia - Hybrid
Eligibility: Candidates must have the right to work in Australia (Citizen, PR, Valid Visa holders).
Key Responsibilities:
Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions
Strong Data Architecture expertise including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred)
Strong knowledge of data governance such as data lineage, technical metadata, data quality and reconciliation
Ability to drive platform efficiency through automation and AI capabilities
AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
Data Orchestration \& Pipelines: Airflow, Data form
Data Formats \& Modelling: Iceberg, JSON, XML, CSV, Data Modelling
Programming \& DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus Unix shell scripting
ETL \& Ingestion: File ingress/egress solutions in AWS
Security and Observability: DevSecOps, Artifactory, Observability tooling Testing \& Automation: test automation frameworks, Jupyter Notebooks
Familiarity with data warehousing and build experience in Teradata, Oracle
Experience in visualisation tools such as PowerBI, Tableau
Familiarity and experience with Agile processes
AWS Data Engineer Associate certification
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.
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: shiv@kaizenglobaltechnologies.com