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Azure Data Engineer - #33676

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years of Azure consulting experience, 3+ years in database and data warehouse architecture, Experience with Azure services and cloud architectures.

Key responsabilities:

  • Design and deliver Azure Data Analytics solutions
  • ETL, data integration, and data migration design
  • Analysis of requirements and production of specifications
  • Collaborate as part of a wider team within a project methodology
  • Liaise with stakeholders throughout software development
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Manila Recruitment Human Resources, Staffing & Recruiting SME https://www.manilarecruitment.com/
11 - 50 Employees
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Job description

Logo Jobgether

Your missions

  • Design and deliver Azure Data Analytics solutions
  • Data modelling and data architecture design.
  • ETL, data integration and data migration design.
  • Master data management system and process design and implementation.
  • Data quality system and process design.
  • Analysis of requirements and production of specifications.
  • Documentation of solutions (e.g. data models, configurations, and setup).
  • Work within a project management/agile delivery methodology in a leading role as part of a wider team.
  • Liaise with other stakeholders/ end users in the software development lifecycle – PMs, BAs, testing etc.

Requirements

  • 3+ years of consulting or client service delivery experience on Azure
  • 3+ years’ experience in database and data warehouse architecture and delivery
  • Experience in Solution/technical architecture in the cloud
  • Experience Big Data/analytics/information analysis/database management
  • Experience with private and public cloud architectures, pros/cons, and migration considerations.
  • Experience with Azure Data Factory / Pipelines, Azure SQL Databases, and Virtual Machines, T-SQL / SQL database experience. Procedures, views, jobs etc.
  • Extensive hands-on experience implementing data migration and data processing using Azure services (the more areas experience the better): Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks, Azure Data Catalogue, Cosmo Db, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc.

Advantageous skills or nice-to-haves:

  • Some experience with Azure Lake, Blob or Synapse
  • Strong in Power BI, Java, C##, Spark, PySpark, Unix shell/Perl scripting
  • Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue etc.
  • Multi-cloud experience a plus - Azure, AWS, Google
  • IoT/event-driven/microservices in the cloud experience

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Stakeholder Management

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