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AWS Data Engineer
About the role
We are looking for an AWS Data Engineer to join our team. You will build data pipelines on AWS.
Responsibilities
- Build data pipelines on AWS.
- Design S3 data lakes and warehouse models.
- Orchestrate jobs and monitor failures.
- Control cost and performance.
- Secure data access.
Required
- AWS Glue, EMR or Lambda
- S3 and Redshift or Athena
- Python or Scala
- SQL
- Pipeline orchestration
Preferred
- Kinesis
- Airflow (MWAA)
- Terraform or CloudFormation
- dbt
- AWS data certification
Tools and stack
AWS Glue, S3, Redshift or Athena, Lambda and Step Functions, Airflow, Terraform
Employment type: [Contract / W2 / C2C / Full-time]
Location: [City, ST / Remote]
Duration: [months]
Work authorization: [accepted types]Responsibilities explained
Each responsibility maps to something a candidate should be able to describe.
- Build data pipelines on AWS.
- Design S3 data lakes and warehouse models.
- Orchestrate jobs and monitor failures.
- Control cost and performance.
- Secure data access.
Required skills
Treat these as the screen. If a candidate cannot speak to them, they are rarely a fit.
- AWS Glue, EMR or Lambda
- S3 and Redshift or Athena
- Python or Scala
- SQL
- Pipeline orchestration
Preferred skills
Use these to rank candidates who meet the required list.
- Kinesis
- Airflow (MWAA)
- Terraform or CloudFormation
- dbt
- AWS data certification
Other titles this role appears under
Search and post under the variants your clients use.
- AWS Data Engineer
- Cloud Data Engineer (AWS)
- Big Data Engineer (AWS)
- AWS Glue Developer
Seniority guide
Pick the level you need and state it plainly in the posting.
- Junior: maintains jobs.
- Mid: builds pipelines.
- Senior: designs the data platform.
Tailoring a resume to this description
When you submit a consultant, mirror the required skills and tools in the summary and the most recent role, using only experience the candidate really has. MatchWire’s resume tailoring drafts this from the candidate’s stored work history and the posting.
Frequently asked questions
How long should a job description be?
Long enough to list the responsibilities, required and preferred skills, tools and logistics, usually 300 to 500 words.
Should I list a rate in the description?
If the client allows it, a range helps candidates self-select. Otherwise state it as “rate to be discussed” and confirm it before submitting.