Our client in Pretoria is recruiting for an AWS Data Engineer (Senior) to join their team. Data Engineers are responsible for building and maintaining Big Data Pipelines using our client’s Data Platforms. They are custodians of data and must ensure that data is shared in line with the information classification requirements on a need-to-know basis.
Qualifications/Experience:
Relevant IT / Business / Engineering Degree
Candidates with one or more of the following 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
Technical Skills:
Terraform
Python 3.x
Py Spark
Boto3
ETL
Docker
Powershell / Bash
Advantageous Skills Requirements:
Exceptional analytical skills analyzing 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 the ability to work independently and multi-task
Experience in working with Enterprise Collaboration tools such as Confluence, JIRA, etc.
Experience developing technical documentation and artifacts
Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV, etc.
Experience working with Data Quality Tools such as Great Expectations
Experience developing and working with REST APIs is a bonus
Experience building data pipelines using AWS Glue or Data Pipeline, or similar platforms
Familiar with data stores such as AWS S3, AWS RDS, or DynamoDB
Experience and solid understanding of various software design patterns
Experience preparing specifications from which programs will be written, designed, coded, tested, and debugged
Strong organizational skills
Basic experience/understanding of AWS Components (in order of importance):
Glue
CloudWatch
SNS
S3
Lambda
DynamoDB
Step Function
Param Store
Secrets Manager
CloudFormation
Business Intelligence (BI) Experience
Technical data modeling and schema design (“not drag and drop”)
Kafka
AWS EMR
Redshift
Basic experience in Networking and troubleshooting network issues
Knowledge of the Agile Working Model
Package & Remuneration
Salary Market Related
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AWS Data Engineer (Senior) 1221 / 1154 TT • Pretoria, Gauteng, ZA