RESPONSIBILITIES
As a Jr. Data Engineer - Managed Services you will be expected to do the following:
- Application support for modern data platform for the customers.
- Working on development tasks assigned by clients.
- Influence the architecture of solutions such that they are supportable, including input into delivery frameworks and processes.
- Ensure that technical knowledge is transferred and retained.
- Act as a technical point of escalation for the Managed Service we deliver to our clients.
- Collaborate on the definition and on-going improvement of internal processes.
- Mentor the wider Managed Service team.
Requirements
EXPERIENCE & SKILLS
- Enterprise level cloud & infrastructure practices and an interest in application delivery
- An attention to detail and a focus on continual improvement
- Problem solving
- Ability to identify opportunities and issues.
- Ability and attitude towards investigating and sharing new technologies.
- Willingness to learn based on feedback and able to help others develop.
- Strong written and spoken English.
- Interpersonal skills
- Experience of most of the following (but not limited to):
- Microsoft Azure Cloud Adoption Framework (CAF), Azure Landing Zones, Hub/Spoke Networks, ARM Templates, Azure DevOps including Pipelines and Repos.
Core:
- SQL Server (T-SQL)
- SSIS
- Azure Data Factory
- Power BI
- Azure Synapse
Supporting:
- Python/Pyspark(Databricks)
- PowerShell
- Azure Data Lake
Principles:
- Data Modelling
- Data Warehousing concepts
Nice to have:
- Azure DevOps
- Source control/ Branching concepts.
- DAX
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Adatis
Adatis is a Data Analytics Consultancy that works with clients to deliver information solutions, helping businesses make better-informed decisions
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