Our client requires the services of a
Data Engineer/Scientist (Senior) - Midrand/Menlyn/Rosslyn/Home Office rotation
- Amazing brand with cutting edge technology
- Excellent teams in Global team collaboration
- High work-life balance with Flexible hours
- Agile working environment
POSITION: Contract until December 2026
COMMENCEMENT: As soon as possible
Qualifications/Experience
- Relevant IT / Business / Engineering Degree
- 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
Technical Skills / Technology
- Terraform
- Python 3x
- SQL - Oracle/PostgreSQL
- Py Spark
- Boto3
- ETL
- Docker
- Linux / Unix
- Big Data
- Powershell / Bash
- GROUP Cloud Data Hub (CDH)
- GROUP CDEC Blueprint
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
- AWS EMR
- Redshift
- Basic experience in Networking and troubleshooting network issues.
- Knowledge of the Agile Working Model.
Advantageous Skills
- 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 in working with Enterprise Collaboration tools such as Confluence, JIRA.
- Experience developing technical documentation and artefacts.
- Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV.
- Experience working with Data Quality Tools such as Great Expectations.
- Experience developing and working with REST API's is a bonus.
- 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.
Role
- Data Engineers are responsible for building and maintaining Big Data Pipelines using GROUP 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.
- Important: A clear criminal record is required.
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iSanqa is your trusted
Level 2 BEE recruitment partner, dedicated to continuous improvement in delivering exceptional service. Specializing in seamless placements for permanent staff, temporary resources, and efficient contract management and billing facilitation, iSanqa Resourcing is powered by a team of professionals with an outstanding track record. With over 100 years of combined experience, we are committed to evolving our practices to ensure ongoing excellence.