Data Engineer - Western Cape, Cape Town, South Africa - Creative CFO

Description

Creative CFO's job vacancy, Career and Recruitment

Job title : Data Engineer – Cape Town jobs in Western Cape

Job Location : Western Cape, Cape Town

Deadline : April 28, 2024

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The position:

As a Data Engineer at Creative CFO, you will be at the forefront of architecting, building, and maintaining our data infrastructure, supporting data-driven decision-making processes.

We are dedicated to optimising data flow and collection to enhance our financial clarity services for high-growth businesses. Join our dynamic and rapidly expanding team, committed to building a world where more SMEs thrive.

To be successful in the role you will need to:

Build and optimise data systems:

Design, construct, install, test, and maintain highly scalable data management systems.

Ensure systems meet business requirements and industry practices.

Build high-performance algorithms, prototypes, predictive models, and proof of concepts.

Expertly process data:

Develop batch processing and real-time data streaming capabilities.

Read, extract, transform, stage, and load data to selected tools and frameworks as required.

Build data Integrations

Work closely with data analysts, data scientists, and other stakeholders to assist with data-related technical issues and support their data infrastructure needs.

Collaborate with data analytics and BI teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organisation.

Be versatile with technology

Exhibit proficiency in ETL tools such as Apache NiFi or Talend and a deep understanding of SQL and NoSQL databases, including Postgres and Cassandra.

Demonstrate expertise in at least one cloud services platform like Microsoft Azure, Google Cloud Platform/Engine, or AWS.

Focus on quality assurance

Implement systems for monitoring data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Have a growth mindset

Stay informed of the latest developments in data engineering, and adopt best practices to continuously improve the robustness and performance of data processing and storage systems.

Key skills & qualifications:

Bachelor's degree in Statistics, Data Science, Computer Science, Information Technology, or Engineering.

Minimum of 2 years of professional experience in a Data Engineering role, with a proven track record of successful data infrastructure projects.

Proficiency in data analysis tools and languages such as SQL, R, and Python.

Strong knowledge of data modeling, data access, and data storage techniques.

Proficiency in at least one of Microsoft Azure, Google Cloud Platform/Engine, or AWS Lambda environments.

Familiarity with data visualisation tools such as PowerBI, Pyramid, and Google Looker Studio.

Excellent analytical and problem-solving skills.

Effective communication skills to convey technical findings to non-technical stakeholders.

Eagerness to learn and adapt to new technologies and methodologies

Relevant experience required:

Previous roles might include Data Engineer, Data Systems Developer, or similar positions with a focus on building and maintaining scalable, reliable data infrastructures.

Strong experience in API development, integration, and management. Proficient in RESTful and SOAP services, with a solid understanding of API security best practices

Experience in a fast-paced, high-growth environment, demonstrating the ability to adapt to changing needs and technologies.

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