Data Engineers - Technology Consulting - Data & Analytics

Data Engineers - Technology Consulting - Data & Analytics

Data Engineers - Technology Consulting - Data & Analytics

Job Overview

Location
Melbourne, Victoria
Job Type
Full Time Job
Job ID
111687
Date Posted
1 year ago
Recruiter
Michael Linda
Job Views
90

Job Description

The opportunity

 EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. 

As a Senior Data Engineer you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include:

  • Leading and managing onshore/offshore data engineering capability.
  • Defining technical solutions to meet business and non-functional requirements.
  • Liases with Source System Technical SMEs to design integration approaches required for Customer objects.
  • Maintaining ADO Epics, Features and User Stories and reviews outputs generated by Data Engineer such as the designed data pipelines.

 To qualify for the role, you must have

  • 5+years in Data Engineering / ETL (SAS, SSRS, SQL Server), Reporting (Power BI, Report Builder), Microsoft Azure (ADF, Azure SQL).
  • Knowledge of SQL is a must
  • Experience with migration and transformation of large complex data sets from legacy systems like Teradata to cloud platform using Azure tools and other ETL tools like DataStage (ideally 2+ Years)
  • Data and Reporting Platform development on environments using technologies such as Microsoft Azure, SAP BW, Teradata, PowerBI or Cognos
  • Previous experience working on large data engineering and migration programmes.
  • Previous experience working with data, data environments, databases, large data sets possibly in a consulting environment

 Ideally, you’ll also have

  • Knowledge of SAS.
  • Experience in engaging with both technical and non-technical stakeholders.
  • Consulting experience and background, including engaging directly with clients.
  • Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects.

Job ID: 111687

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