AWS Data Engineer (Expert) 2775 / 2776 TT

About the position

Data Engineers are responsible for building and maintaining Big Data Pipelines using our client’s Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line with the information classification requirements on a need-to-know basis.


Minimum Requirements:

Qualifications/Experience:



Certifications:



Candidates with one or more of the certifications are preferred



AWS Certified Cloud Practitioner



AWS Certified SysOps Associate



AWS Certified Developer Associate



AWS Certified Architect Associate



AWS Certified Architect Professional



Hashicorp Certified Terraform Associate



 



Essential Skills Requirements:



SQL - Oracle/PostgreSQL



AWS Quicksight



Business Intelligence (BI) Experience



 



Advantageous Skills Requirements:



Demonstrate expertise in data modelling Oracle SQL.



Exceptional analytical skills analysing large and complex data sets.



Perform thorough testing and data validation to ensure the accuracy of data transformations.



Strong written and verbal communication skills, with precise documentation.



Self-driven team player with ability to work independently and multi-task.



Experience building data pipeline using AWS Glue or Data Pipeline, or similar platforms.



Experience preparing specifications from which programs will be written, designed, coded, tested and debugged.



Strong organizational skills. Experience in working with Enterprise Collaboration tools such as Confluence, JIRA etc.



Experience developing technical documentation and artefacts.



Experience working with Data Quality Tools such as Great Expectations.



Experience developing and working with REST API's is a bonus.



Basic experience in Networking and troubleshooting network issues.



Knowledge of the Agile Working Model.



Creating a network community with all needed data stewards within the Group IT.



Self-driven data obtaining within the community.



 



Advantageous Technical Skills / Technology:



Terraform



Python 3x



Py Spark



Boto3



ETL



Docker



Linux / Unix



Big Data



PowerShell / Bash



 



Basic experience/understanding of AWS Components (in order of importance):



Trino Distributed SQL queries



Glue (ETL Scripting)



CloudWatch



SNS



Athena



S3



Kinesis Streams (Kinesis, Kinesis Firehose)



Lambda



DynamoDB



Step Function



Param Store



Secrets Manager



Code Build/Pipeline



CloudFormation



Technical data modelling and schema design (“not drag and drop”)



Kafka 



AWS EMR



Redshift

Desired Skills:

• Business Intelligence (BI) Experience
• AWS Quicksight
• SQL