Cloud Engineer (Azure) - 12 month contract - Hybrid

Introduction

Digiterra is a multinational software and consulting group that provides sustainable resource, process and technology solutions to address a wide range of challenges throughout the Business to IT continuum.

We are looking for a Cloud Engineer to join the team on an initial 12 month contract.

Duties & Responsibilities

The Cloud Data Engineer is responsible for preparing enterprise-grade data products and driving technical thought leadership to support advanced analytics initiatives.

This position entails designing, developing, and maintaining scalable data solutions on Microsoft Azure, ensuring the delivery of clean, reliable, and fit-for-purpose data for consumption across the organisation. Key responsibilities include building robust data pipelines, integrating APIs, and leveraging Azure services to enable advanced analytics and business intelligence capabilities.

• Architect, engineer and maintain robust scalable and fault tolerant data pipelines using technologies like Ab Initio, Python/Scala, Apache spark, Microsoft Fabric, Databricks for ingestion, transformation and delivery of structured, semi structured and unstructured data.
• Ensure efficient performance tuned extraction and loading of data into the enterprise Data Warehouse and Data Lake focusing on high availability, cost efficiency and reliability.
• Implement modern Data Ops practices including automation, testing and orchestration for both batch and low latency streaming data workflows.
• Collaborate with Software Engineers to design and implement consumption APIs and services that enable secure real time data access for business applications

Desired Experience & Qualification

• Data Collection and Analysis: Works with full competence to determine and analyze trends from collected data to assist in compiling reports that support business decisions. Typically works without supervision and may provide technical guidance.
• Engineering: Deep expertise In major cloud Azure platform, Azure Data Factory, Microsoft Fabric, Databricks, Python, PySpark. Infrastructure as Code
• Database User Interfaces and Queries: Works with full competence to create and run queries and interact with various database interfaces and query languages. Typically works without supervision and may provide technical guidance. Experience with low latency data Ingestion and processing using Message queues, Kafka, Azure Event Hub, Real time Intelligence.
• Data Conversion: Works with full competence to use data conversion tools and techniques to encode data in various formats. Typically works without supervision and may provide technical guidance.
• Database Reporting: Works with full competence to use database reporting tools and techniques. Typically works without supervision and may provide technical guidance.
• Orchestration and Data Ops proven experience with workflow orchestration and Implementing CI/Cd pipelines for data solutions
• Application Development: Works with full competence to develop software through use of programming languages. Typically works without supervision and may provide technical guidance.
• Categorizing and Classifying Information: Works with full competence to utilize systems and tools to support categorizing and classifying data and information. Typically works without supervision and may provide technical guidance.

Interested?

Please ensure that you meet the minimum requirements as stated above.

Should you not receive any response from us within 2 weeks, you can consider your application as unsuccessful for this specific position.

We would like to take this opportunity to thank you for entrusting us with your confidential credentials and for your interest in Digiterra Group.