Data Engineer Midrand - Cruze Control Technologies

    Cruze Control Technologies
    Cruze Control Technologies Midrand

    1 week ago

    Default job background
    Description

    AWS Data Engineer

    The AWS Data Engineer will be responsible for building and maintaining Big Data Pipelines using Data Platforms, ensuring that data is shared in line with 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 in Computer Science, Engineering, or related field.
    • 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.
    • Relevant experience in the Automotive industry.
    • Familiarity with Terraform.
    • Proficient in Python 3.x.
    • Knowledge of PySpark.
    • Experience with Boto3.
    • ETL process management.
    • Docker containerization.
    • Scripting skills in Powershell / Bash.
    • Minimum 3-5 years of working experience.
    • Experience working with Enterprise Collaboration tools such as Confluence, JIRA.
    • Developing technical documentation and artifacts.
    • Knowledge of data formats including Parquet, AVRO, JSON, XML, CSV.
    • Experience working with Data Quality Tools such as Great Expectations.
    • Understanding of Agile Working Model.

    Market-related salary.


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