AWS Data Engineer EXP 0675 - Midrand
ESSENTIAL SKILLS REQUIREMENTS:
Above average experience/understanding (in order of importance):
e.g. Technical Skills / Technology
· Experience in working with Enterprise Collaboration tools such as Confluence, JIRA etc.
· Experience developing technical documentation and artefacts.
· Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc.
· Experience working with Data Quality Tools such as Great Expectations.
· Knowledge of the Agile Working Model.
· Any additional responsibilities assigned in the Agile Working Model (AWM) Charter
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.
- Familiar with data store such as AWS S3, and 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. Experience developing and working with REST API's is a bonus.
· Basic experience in Networking and troubleshooting network issues.
Basic experience/understanding of AWS Components (in order of importance):
· Redshift
WHICH QUALIFICATIONS/EXPERIENCE DO WE NEED FOR THE ROLE?
· Relevant IT / Business / Engineering Degree
· 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
WHAT WILL BE YOUR ROLE AND RESPONSIBILITIES?
e.g. Core Role tasks and responsibilities
Data Engineers are responsible for building and maintaining Big Data Pipelines using 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. Apply Now
Above average experience/understanding (in order of importance):
e.g. Technical Skills / Technology
- Terraform
- Python 3x
- SQL - Oracle/PostgreSQL
- Py Spark
- Boto3
- ETL
- Docker
- Linux / Unix
- Big Data
- Powershell / Bash
- BMW Cloud Data Hub (CDH)
- BMW CDEC Blueprint
· Experience in working with Enterprise Collaboration tools such as Confluence, JIRA etc.
· Experience developing technical documentation and artefacts.
· Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc.
· Experience working with Data Quality Tools such as Great Expectations.
· Knowledge of the Agile Working Model.
· Any additional responsibilities assigned in the Agile Working Model (AWM) Charter
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.
- Familiar with data store such as AWS S3, and 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. Experience developing and working with REST API's is a bonus.
· Basic experience in Networking and troubleshooting network issues.
Basic experience/understanding of AWS Components (in order of importance):
- Glue
- CloudWatch
- SNS
- Athena
- S3
- Kinesis Streams (Kinesis, Kinesis Firehose)
- Lambda
- DynamoDB
- Step Function
- Param Store
- Secrets Manager
- Code Build/Pipeline
- CloudFormation
- Business Intelligence (BI) Experience
- Technical data modelling and schema design ("not drag and drop")
- Kafka
· Redshift
WHICH QUALIFICATIONS/EXPERIENCE DO WE NEED FOR THE ROLE?
· Relevant IT / Business / Engineering Degree
· 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
WHAT WILL BE YOUR ROLE AND RESPONSIBILITIES?
e.g. Core Role tasks and responsibilities
Data Engineers are responsible for building and maintaining Big Data Pipelines using 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. Apply Now
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