Consulting D&A Azure Manager

EY
10 days ago
0 Applied
Expires on: Feb 13 2023

Ref.No 00001776

Description

As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets.

Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services.

We’re looking for candidates with strong technology and data understanding in data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Skills And Attributes For Success

  • In-depth cloud domain experience with focus on Microsoft Azure / Microsoft Azure Stack solutions
  • Should have at least 8-10 years of experience in project delivery, client engagement, GTM support
  • Developed expertise in complex data management or Application integration solution and deployment in areas of data migration, data integration, application integration or data quality.
  • Experience building on Azure using Databricks, ADF/ADLS
  • Strong knowledge in Pyspark, SQL, data warehousing concepts and modelling concepts
  • Have worked with clients to provide solutions, architectures, estimates
  • Have handled teams, performed appraisals, helped build an organization, worked in global client environment, contributed in thought leadership like white papers, accelerators etc.
  • Good analytical skills with excellent knowledge of SQL.
  • 10+ years of work experience with very large data warehousing environment
  • 10+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
  • Experience in data modelling concepts
  • 10+ years of Python and/or Java development experience
Responsibilities
  • Leading the production of high-quality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team
  • Manage teams, clients, build architectures, respond to RFI/RFPs, conduct interviews and build teams
  • Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality
  • Leading the delivery of data models, data storage models and data migration to manage data within the organization, for a small to medium-sized project
  • Resolving escalated design and implementation issues with moderate to high complexity
  • Analysing the latest industry trends such as cloud computing and distributed processing and beginning to infer risks and benefits of their use in business
  • Providing technical expertise to maximize value from current applications, solutions, infrastructure and emerging technologies and seek to continuously improve internal processes
  • Developing working relationships with peers across other engineering teams and beginning to collaborate to develop leading data engineering solutions
  • Driving adherence to the relevant data engineering and data modelling processes, procedures and standards
Skills
Microsoft Azure
Pyspark
SQL
complex data management
data migration
Python and/or Java
Industry Sector