- Type Learning
- Level Intermediate
- Time Months
AWS Data Engineer
Issued by
Talent Path
Earners of this designation are skilled problem solvers and solution-based thinkers who create AWS data solutions. Individuals who earn this badge use their extensive knowledge of AWS Services, professional best practices, communication, and requirement gathering skills to advise their stakeholders then design and build a solution. (C16)
- Type Learning
- Level Intermediate
- Time Months
Skills
- Amazon DynamoDB
- Amazon EMR
- Amazon Kinesis
- Amazon QuickSight
- Amazon RDS
- Amazon Redshift
- Amazon S3
- Apache Hadoop
- Apache Hive
- Apache Spark
- Automate ETL Workloads
- AWS Architecture
- AWS Glue
- AWS IAM
- AWS Networking
- AWS PostgreSQL
- AWS Security
- Big Data
- Building Data Pipelines
- Data Analysis
- Data Security
- Python
- Secrets Management On AWS
- SQL
Earning Criteria
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Passed rigorous entry examinations and multiple rounds of personnel meetings to assess technological knowledge, practical capabilities, emotional intelligence, motivation, and adaptability.
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Successfully engaged in 344 hours of online training focused on AWS services as well as designing and implementing AWS solutions.
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Verified knowledge and application of AWS services and offerings. Verified ability to design and implement an AWS Data solution. Built a data pipeline to perform various end-to-end solutions using general procedures for copying data from one or more sources into a destination system. Making use of Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon Redshift, Amazon EMR, AWS Glue and, Amazon Quick Sight.
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Demonstrated, within a working group, the ability to produce in a highly collaborative environment, acting as lead and follower, giving and receiving feedback through weekly presentations to technical resources and executive leadership.