Position: Data/Cloud Engineer
Company: Skelia
Experience required: 5y
English level: upper

You will design, configure, develop, deploy and support data and analytic application solutions being developed using a wide range of Azure Cloud technology services.


About our client
Our client is a global mining company with a world-class portfolio of products that are used by a billion consumers every day. Our client relies on data and cutting-edge data science to enhance their operations. They also use advanced machine learning and artificial intelligence to optimize their processes.

Mission
Develop highly configurable data solution for end-to-end batch, near real time or streaming data, covering the full software development lifecycle
Effectively test and adopt testing frameworks to embed and codify tests
Ensure code quality and performs code reviews of fellow developers
Take technical ownership for the implementation of the data engineering solution at an allocated product
Clearly communicate and explain concepts to senior stakeholders and key teams during sprint reviews and other programme meetings
Have a clear understanding of agile best practices and proactively collaborate and support the team if needed during the whole sprint cycle
Document technical implementation details and artefacts created as part of the process
Collaborate with operations team to ensure operational readiness and support detect resolution
Requirements
Detail-oriented, meticulous and an engineering mindset, with dynamism and ability to rapidly assimilate new tooling, tech and best practices in a fast-paced environment
6+ years of dedicated software engineering and 3+ years of data engineering experience (with Microsoft Azure services and related tools)
Ability to write/review/understand integration / interface specifications, locate issues and suggest better solutions
Hands-on experience engineering solutions using Azure Data Analytics platform including Azure Databricks, Azure SQL, Azure Data Factory, Azure Logic / Function Apps, Azure Storage, Azure Data Lake, ARM Templates, Azure Key Vault
Practical knowledge of vital security concepts incl. TLS/SSL, Secrets/credentials management (in an Azure setting)
Very good knowledge of HTTP/S, TCP, DNS, Load Balancing, Reverse Proxies, API gateways, etc.
Fluent ability to write intermediate to advanced idiomatic and standards-oriented Python (3.6 or higher) in a containerised environment (Docker, Docker Compose / Kubernetes, etc.)
Ability to engineer solid solutions that utilise complex REST or GraphQL APIs and mixture of I/O services
Ability to create/use/combine/filter data sets from Azure based data storage solutions
Good working knowledge of enterprise integration patterns, SOLID and 12 Factor principles
Familiar with modern DevOps/SRE best practices and good ability to use standard DevOps and GitOps tooling
Nice to have
Good working knowledge of data structures and algorithms
Microsoft Azure certified (DP-900 Azure Data Fundamentals, DP-203 Azure Data Engineer) but not essential