AWS Data Engineer
CareCone Group · Sydney, Australia ·
- Employment
- Full time
- Category
- Data engineering
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.
• 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 [email protected].
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Information Services