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Data Engineer Midrand at Cruze Control Technologies – Midrand | Jobyssey

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Data Engineer Midrand

Data Engineer Midrand

Cruze Control Technologies · Midrand, South Africa · 2 months ago

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Category: Data engineering

agile api aws aws-glue bash cloud confluence data-pipelines data-quality design-patterns docker dynamodb etl jira

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Build and maintain AWS-based big-data pipelines for a mobility/climatetech/logistics company, validating data accuracy and ensuring secure sharing.

AWS Data Engineer

The AWS Data Engineer will be responsible for building and maintaining Big Data Pipelines using Data Platforms and must ensure that data is shared in line with the information classification requirements on a need-to-know basis.

Duties & Responsibilities

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 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 APIs is a bonus.
Basic experience in Networking and troubleshooting network issues.

Desired Experience & Qualification

Degree
Certifications such as AWS Certified Cloud Practitioner, AWS Certified SysOps Associate, AWS Certified Developer Associate, AWS Certified Architect Associate, AWS Certified Architect Professional, Hashicorp Certified Terraform Associate.
Automotive industry experience.
Terraform.
Python 3.x.
PySpark.
Boto3.
ETL.
Docker.
Powershell / Bash.
Must have 3 – 5 years working experience.
3 – 5 years experience in working with Enterprise Collaboration tools such as Confluence, JIRA.
3 – 5 years experience developing technical documentation and artifacts.
Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV.
Experience working with Data Quality Tools such as Great Expectations.
Knowledge of the Agile Working Model.

Market related.