ETIC, Google Cloud Data Engineer - Senior Associate

6 Days ago β€’ All levels

About the job

SummaryBy Outscal

Experienced Google Cloud Data Engineer to lead data warehouse migration projects to Google Cloud. Must have expertise in migrating Teradata to BigQuery, designing ETL processes on GCP, and proficiency in Google Cloud tools like Data Fusion, Dataflow, and Dataproc.

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Senior Associate

Job Description & Summary

Support PwC in implementing data platforms and delivering data warehouse migration projects to Google Cloud. Discover and analyze legacy ETL processes and data pipelines and transform them to Google Cloud based data pipelines using corresponding Google Cloud tools like Data Fusion, DataForms, Dataflow, etc. Ensure data lineage and data governance requirements are implemented and support decision making for target data architectures and the tool chain on Google Cloud. Collaborate with the team of data engineers, architects and analysts to ensure high quality solutions and success of client projects. The ideal candidate is experienced in migrating Teradata to BigQuery.

Background

  • Experienced in designing and building ETL processes, data pipelines and data transformations on Google Cloud 

  • Experienced in migrating data pipelines, schemata and data from legacy solutions (e.g. AbInitio) to Google Cloud baked solutions

  • Experienced in discovery and assessment of legacy ETL processes using corresponding tools (e.g. Datametica, IBM, Informatica)

  • Proven track record of migrating large data warehouses to BigQuery

  • Experienced in scheduling, monitoring, validating and error handling for data migrations to BigQuery

  • Extensive knowledge in relevant Google Cloud tools like Data Fusion, Dataflow, Dataproc etc and other relevant ingestion solutions like Kafka 

  • Experienced in implementing data pipelines with SQL, Python, Java and other relevant programming languages

  • Extensive knowledge about performance and cost optimization in BigQuery, typical challenges and pitfalls in these areas when migrating from legacy data warehouses to BigQuery.

  • Target Projects: Large data warehouse migrations and optimization to Google Cloud, implementing modern data concepts on Google Cloud

Certifications: Google Cloud Professional Data Engineer

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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