AWS Data Engineer

CareCone Group

Sydney

On-site

AUD 90,000 - 150,000

Full time

14 days+
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Job summary

An established industry player is seeking a skilled AWS Data Engineer to join their dynamic team. This role involves leveraging AWS data services such as Glue, Lambda, and S3 to build robust data pipelines and analytics solutions. The ideal candidate will possess strong SQL knowledge and experience in coding with languages like Java, Scala, and Python. You will work in an Agile environment, contributing to innovative projects that drive data-driven decision-making. If you're passionate about cloud technologies and eager to make an impact, this opportunity is perfect for you.

Qualifications

  • Minimum years of experience as an AWS Data Engineer required.
  • Advanced SQL knowledge and experience with AWS data services needed.

Responsibilities

  • Work with AWS data services including Glue, Lambda, and S3.
  • Utilize coding languages like Java, Scala, and Python for data engineering tasks.

Skills

AWS Data Engineering
SQL
Java
Scala
Python
Shell Scripting
Agile Methodology
Kanban

Education

AWS Certification: AWS Certified Solutions Architect
AWS Certification: AWS Certified Data Analytics

Tools

AWS Glue
AWS Lambda
AWS S3
AWS Redshift
AWS CodeCommit
GitHub
Cloud Formation

Job 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
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