Snowflake Data Engineer

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profile Job Location:

Auckland - New Zealand

profile Monthly Salary: Not Disclosed
Posted on: 11 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.

Snowflake Data Engineer

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

We are seeking a highly skilled Senior Consultant to join our team as a Data this role you will have the opportunity to work at the forefront of data engineering and integration and model development with a specific focus on designing and building cloud data and AI solutions using Snowflake and the eco-system of tools that are part of the wider solution architecture such as Fivetran dbt and Coalesce. You will play a crucial role in designing the solution architecture enabling data ingestion and transformation pipelines designing data models and data products and creating user-friendly interfaces that empower users to interact with complex data through data visualization tools and natural language interfaces.

This position offers a unique chance to contribute to innovative projects while also providing mentorship and technical leadership to junior team members.

In line with client requirementsthis role isbased in ourTāmaki Makaurau (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

  • Snowflake AI Data Cloud solution architecture design.
  • Data modelling and the design and build of data pipelines to ingest and transform data.
  • Integration of theSnowflakeplatformwithother eco systemtoolsets such asFivetrandbtandCoalesce.
  • Designing and building scalable robust dataingestion and transformationpipelines onSnowflake using tools such asSnowpipeFivetrandbtandCoalesce.
  • Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
  • Provide technical leadership and mentorship to junior data engineers fostering a culture of continuous learning and improvement.
  • Stay updated with the latest industry trends and technologies to ensure the teamremainsat thecutting edgeof data engineering practices.

Ngā Pūkenga Skills and attributes for success

Proven experience in:

  • ImplementingSnowflakeAI Data Cloudplatforms.
  • Data platform solution architecture designpatterns.
  • Data modelling using a range of data modelling methodologies including 3rdnormal for Start Schema and Big wide tables.
  • Data engineeringandbuildingscalablerobust data pipelines using tools such asdbt.
  • Writing efficient SQL queries.
  • Integrating Snowflake with data processing frameworks particularlywith solutions such asFivetrandbt Coalesce andPowerBI.

Ideallyyoullalso have the skills and attributes below butdontworry if youdonttick all the your aptitudeattitudeand willingness to learn.

  • A working knowledge ofSnowflake HorizonCatalog.
  • Integration ofSnowflake with Cortex tofacilitateseamless data ingestion processes.
  • Design and train machine learning models on Cortex based on a defined set of business questions and requirements.
  • Proficiencywithdevelopment languages suchPython Java and Scala.
  • Proficiencyin building interactive user interfaces usingStreamlitor similar frameworks.
  • Excellent problem-solving skills and the ability to think critically about data challenges.
  • Strong communicationskills with the ability to convey complex technical concepts to non-technical stakeholders.
  • A proactive and collaborative mindset with a passion forleveragingdata to drive business outcomes.
  • Curiosity aboutdata and AI and how thesecan be usedto deliver valuefor both society andorganisations.
  • Experience in technical leadership or mentorship roles guiding junior team members towards success.

KuhumaikiaEYICome be a part of EY

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

#LI-Hybrid

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.Snowflake Data EngineerNāu te rourou nāku te rourou ka ora ai te iwiWith y...
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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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