Description:
As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
In this role you will:
- Ingestion and provisioning of raw datasets, enriched tables, and/or curated, re-usable data assets to enable Cybersecurity use cases.
- Driving improvements in the reliability and frequency of data ingestion including increasing real-time coverage.
- Support and enhancement of data ingestion infrastructure and pipelines.
- Designing and implementing data pipelines that will collect data from disparate sources across the enterprise, and from external sources, transport said data, and deliver it to our data platform.
- Extract Translate and Load (ETL) workflows, using both advanced data manipulation tools and programmatically manipulating data throughout our data flows, ensuring data is available at each stage in the data flow, and in the form needed for each system, service, and customer along said data flow.
- Identifying and onboarding data sources using existing schemas and, where required, conducting exploratory data analysis to investigate and determine new schemas.
To be successful in this role you should meet the following requirements:
- Experience with SRE and Azure DevOps
- Ability to script (Bash/PowerShell, Azure CLI), code (Python, C#, Java), query (SQL, Kusto query language) coupled with experience with software versioning control systems (e.g., GitHub) and CI/CD systems.
- Programming experience in the following languages: PowerShell, Terraform, Python Windows command prompt and object orientated programming languages.
- Technical knowledge and breadth of Azure technology services (Identity, Networking, Compute, Storage, Web, Containers, Databases)
- Cloud & Big Data Technologies such as Azure Cloud, Azure IAM, Azure Active Directory (Azure AD), Azure Data Factory, Azure Databricks, Azure Functions, Azure, Kubernetes, Service, Azure Logic App, Azure Monitor, Azure Log Analytics, Azure Compute, Azure Storage, Azure Data Lake Store, S3, Synapse Analytics and/or PowerBI
- Experience with server, operating system, and infrastructure technologies such as Nginx/Apache, CosmosDB, Linux, Bash, PowerShell, Prometheus, Grafana, Elasticsearch)
- Positive attitude, strong work ethic and passion for learning.
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field advantageous