Data Engineer Databricks

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profile Job Location:

Auckland - New Zealand

profile Monthly Salary: Not Disclosed
Posted on: 22 hours ago
Vacancies: 1 Vacancy

Job Summary

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Nāu te rourou nāku te rourou ka ora ai te iwi

With your contribution and my contribution together we will thrive.

Ko te rourou kei ō ringa I The choice is yours

As a Data Engineerat either the Senior Consultant or Manager rank you will designbuildand implement scalable datasolutions that drive significant business value. Collaborating closely withotherdata and analytics professionals program teams management and stakeholders you will play a pivotal role in the analytics landscape. Your experiencewill enable you tocomprehendand dissect business requirements translating them into precise technical specifications. You will serve as a vital link between business stakeholders and technical teams ensuring that the development process aligns seamlessly with the intended design andobjectives.

In line with client requirements this role will be based in our Auckland office. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.

Ko Tō Rourou Your key responsibilities

  • Be able to clearly explain strengths and weaknessesof data engineering optionsto both technical and senior business stakeholders.
  • Design build and operate scalable on-premises or cloud dataengineeringarchitecturesolutions thatfacilitatedata storage integration managementvalidationand security supporting the entire data asset lifecycle.
  • Strong stakeholder engagement and must be able to create weekly status reports and manage project budget.
  • As required coordinate the work of junior colleagues or team membersto ensurestructure and focus on achieving team goals.
  • Perform Modelling of data diagrams in ER Studio for data engineering build as design (Logical Physical).
  • Must be able to use the following technologieswith more than 1 year experience in Databricks Data Platform Azure ADF Python SQL AzureDevops and reporting in Power BI.
  • Must be able to work with ingestion patterns and able to update patterns where required by architects.

Ngā Pūkenga Skills and attributes for success

Ideallyyoullhave the skills and attributes below butdontworry if youdonttick all the in your aptitudeattitudeand willingness to learn.

  • Knowledge with Data pipeline development including familiarity of various technologies such as Databricks Azure Data Factory Genie Azure Devops and Unity Catalog Knowledge.
  • Ideal but not essential is experience working in a manufacturing or supply chain background.
  • Proficiency and demonstrated experience in transformation of large complex data sets fromsource systems to target platforms (experience in Azure solutions using data bricks platform for engineering focus on SAP ECC or SAP S4 HANA).
  • Evidence of experience in modern development practices including use of code repositories code review processes and test frameworks.
  • Ability to introduce innovative ways of organisingmanagingand integrating data to ensure its quality and ability to be used as a distinctive asset to generate a return.
  • Leads by example and models behaviours that support a culture of safety health and wellness.
  • Excellent communication skills and the ability to communicateand present information with purpose clarity and impact.

KuhumaikiaEYICome be a part of EY

At EYwellfuel you and your extraordinary talents in a diverse and inclusive culture of globally connected more.

EY Building a better working world

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.


Required Experience:

IC

At EY were all in to shape your future with confidence.Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.Nāu te rourou nāku te rourou ka ora ai te iwiWith your contribution and my...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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