CareCone Group
AWS Data Engineer
Mid-senior level data engineer in Sydney building and maintaining data pipelines on AWS — working with Glue, Athena, Lambda, S3, and Redshift, writing advanced SQL, and coding in Java, Scala, Python, or shell scripts with CloudFormation and Git-based workflows.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum years of experience as an AWS Data Engineer
- Experience working with AWS data services such as Glue and Athena
- Solid experience with AWS data services including Glue, Lambda, S3, Redshift
- Advanced SQL language knowledge
- Experience in coding languages such as Java, Scala, Python, or shell scripting
- Experience with source code management tools such as AWS CodeCommit or GitHub
- Experience with CloudFormation
Nice to have
- AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
- Working experience with Agile Methodology and Kanban
Full description
- Minimum no of years of experience as AWS Data Engineer.
- Experience on working with AWS data services such as Glue, Athena.
- Solid experience on working with AWS data services not limited to Glue, Lambda, S3, Redshift.
- Experience in some of the prominent coding languages such as Java, Scala, Python, or shell scripting.
- Preferred: AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics.
- Preferred: Working experience with Agile Methodology and Kanban.
- Must Have: Advanced SQL language knowledge.
- Experience working with source code management tools such as AWS CodeCommit or GitHub, Cloud Formation.
Interested candidates can share their resume at rahul.singh@carecone.com.au.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Information Services