AWS Data Engineer
22 hours ago
Role:
AWS Data Engineer
Type:
Contract
Location:
Sydney
Status:
Valid AUS visa holders.
JD 1: Senior Data Engineer position here is the skills summary (the AWS data stack is must have)
- Sound understanding of Data modelling concepts
- Strong knowledge of SQL
- AWS Data Stack: S3,RDS, Redshift, Iceberg and Glue (proficient)
- Programming languages: Python/Spark (working knowledge)
- Data warehousing / ETL : Glue, EMR or Abinitio (working knowledge)
- Visualization : PowerBI, Tableau or QuickSight (familiarity)
- CI/CD tools : GitHub Actions, Jenkins, TeamCity, Artifactory or Octopus
- Experience in test automation and using test management tools like JIRA
JD 2: Staff Data Engineer position here is the skills summary (the AWS data stack is must have)
- Strong Data Architecture expertise including different data modelling techniques and design patterns
- 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, Dataform
- 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.
Interested?
Please apply, thanks for your interest and time.
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