Platform Engineer (CPT - 4 Days onsite)

ENVIRONMENT:

DESIGN and implement scalable and robust processes to support various Engineering capabilities as the next Platform Engineer sought by a reputable Retail Group. Your role will entail extracting, transforming, and consolidating data, developing and maintaining a data platform, implementing cloud solutions, supporting DevOps practices, applying Machine Learning techniques, and creating data visualisations. The successful incumbent will require a Bachelor’s Degree in Computer Science/Business Informatics/Mathematics/Engineering or related field, have 4-5 years relevant Engineering work experience, a strong understanding of data structures, algorithms, and software design. You must also be proficient in Python, Scala, Java, C, Apache Spark, Git, SVN, Power BI, QuickSight, Qlik Sense & DevOps.

DUTIES:

• Design and implement scalable and robust processes for ingesting and transforming large data sets, developing platforms, and deploying cloud solutions.
• Design, implement and maintain data pipelines that ingest large, complex data sets from a variety of data sources.
• Implement and support cloud strategies aligned with data architecture, security and governance.
• Apply DevOps practices to enhance efficiency and automation for greater scalability, including infrastructure and solutions as code.
• Integrate Machine Learning models into data processes and ML platform.
• Design and implement scalable and robust processes for visualising large data sets, enabling self-service visualisation and analytics.
• Develop APIs to expose the data to enterprise applications and 3rd party vendors.
• Work with various stakeholders across the organisation to understand data requirements and apply technical knowledge of data management to solve key business problems.
• Provide support in the operational environment with all relevant Support teams for data services.

REQUIREMENTS:

Qualifications –

• Bachelor’s Degree in Computer Science, Business Informatics, Mathematics, Statistics, Engineering, or a related field.

Experience/Skills –

• 4-5 Years of relevant Engineering experience.
• Strong understanding of data structures, algorithms, and software design.
• Experience with structured and unstructured data, different data stores, and traditional RDBMS and data warehouses.
• Proficiency in programming languages such as Python, Scala, Java, and C .
• Practical experience with Apache Spark and cloud services (e.g., AWS, Azure, GCP).
• Experience with Version Control systems like Git and SVN.
• Proficiency in data visualisation tools such as Power BI, QuickSight and Qlik Sense.
• Experience with DevOps practices, including CI/CD and Infrastructure as Code.

Specialised Skills -

Data Engineering: Experience with Big Data, ETL, and Data Management processes.

Platform Engineering: Experience with cloud platform development and maintenance.

Cloud Engineering: Experience with cloud architecture and API development.

DevOps: Experience with DevOps practices, architecture, and operation.

ML Engineering: Experience with Machine Learning frameworks and model integration.

Data Visualisation: Experience with data visualisation tools and techniques.

ATTRIBUTES:

• Excellent verbal and written communication skills.
• Strong analytical and problem-solving abilities.
• Ability to work well in an agile, collaborative team environment.
• Continuous learning mindset and commitment to professional development.
• Innovative thinking and adaptability to changing business needs.

While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.

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