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Azure Developer

Posted on Apr 17, 2019 by Global Resourcing

Not Specified Switzerland
Information Technology
Immediate Start
Annual Salary
Full-Time

our client in the Netherlands are looking for a data savvy individual to join their Operations Insights team. As a member of their Operations Insight team, your core responsibility will be preparing and delivering bank-wide operations data from various sources. You will be working with various stakeholders for the successful delivery of the future-state data platform using native Azure components. Your challenge will be to create this data platform to support business decisions and operations

As a data engineer on Azure platform, together with your team, you will

  • build and maintain the semantic layer, which will enable quick and sustainable data access.
  • build a solid data architecture in order to expand sources and applications.
  • enable analytical technologies to support predictive modelling and machine learning tools.
  • build and maintain automation and CI/CD pipelines.

Responsibilities

As a data engineer, you will be responsible for the development and maintenance of data pipelines, with a focus on data quality. You will also be responsible for making technical and design decision with your team.

  • Making data available from various sources for other parties.
  • Building scalable and high-performance data pipelines.
  • Contributing to the development of tools that help the analytics community explore and discover data.
  • Analysing data for quality issues and proposing tactics to increase quality.
  • Maintenance and monitoring of Operations data platform and data pipelines.

Required Skills/Qualifications

Azure

  • Understand the public cloud solutions (AWS, Azure) and their respective Advanced Analytics and Database offerings
  • Extensive working experience as a data engineer on the Azure platform using components such as Azure Databricks, Azure data factory, Azure data lake store, Azure SQL DB, Azure DWH, HDInsights, Azure Datalake Analytics, blob storage.

Code

  • Experience in designing and building production data pipelines using relevant libraries in Python.
  • Experience with programming languages such as Python, Spark, PySpark, R
  • Knowledge and experience with (automated) testing concepts.
  • Able and willing to quickly pick up new programming languages, technologies, and frameworks

Data

  • Working experience building cloud scalable and high-performance data lake solutions preferably on Azure
  • Experience in implementing data pipelines with technologies such as Spark, SQL, etc.
  • Hands-on experience in designing data lake solutions on Azure
  • Knowledge on master data management.

DevOps

  • Experience with source control tools such as GitHub, Azure DevOps and related development process
  • Experience building and maintaining CICD pipelines preferably in Azure DevOps.

Others

  • Experience with the Agile way of working
  • Willingness to tackle the formal procedures etc. that comes with working for an enterprise
  • Strong problem solving and analytical mind-set
  • Eager to innovate, experiment and advice on applying new technologies
  • Has a passion for technology especially data solutions
  • Able to drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Fluency in English both written and verbal
  • Team player with strong communication, interpersonal, relationship-building, and stakeholder management skills
  • Excellent organizational skills, attention to detail and analytical reasoning

Desired Skills

  • A university degree in software engineering or a technical field.
  • Knowledge and working experience with BI reporting tools mainly PowerBI and MicroStrategy
  • Good understanding of advanced analytics and machine learning concepts
  • Good working knowledge with IDE's such as Visual Studio code, Pycharm etc
  • Knowledge on event-driven solutions ie Enterprise service bus principles and implementations
  • Able to architect, design and build reusable components, frameworks and libraries at scale to support data & analytics use cases
  • Experience with test-driven development
  • Understanding of data structures and algorithms
  • Working experience on end-to-end solution design
  • Experience with Scripting languages such as Windows PowerShell, Azure CloudShel

Job Location is in the Netherlands.

Reference: 694456864