EY GDS Consulting AI And DATA Azure Databricks Manager

Delhi - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

At EY youll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.

Data Engineering Lead

Pull/ingest data from different sources transform and stitch and wrangle it for advanced analytics activities.
Design implement and deploy data loaders to load data into the Engineering Sandbox.
Leverage data best practices and tools and assist ML engineer in pulling filtering tagging joining parsing and normalizing data sets for use.
Provide input to ML engineer/cloud engineer for the design and implementation of data management and/or architecture solutions.
8-11years of related work experience and at least 7 years of experience as a cloud solutions architect or equivalent in the area of data solutions designing cloud-based data architectures data modeling data warehousing/data lake solutions and data migration scenarios including both hybrid and pure cloud data solutions.
At least 5 years of hands on experience with any of the following Azure data services: Azure Synapse Azure SQL Database Azure Cosmos DB Azure Data Lake Azure Data Factory and Azure Databricks or related
Designing developing implementing and translating business requirements and the overall organizational data strategy including standards principles data sources storage pipelines data flow and data security policies.
Strong knowledge on infrastructure components (Clusters VMs SQL Server Vnet Integrations) to support data migration deliverables on time and on budget.
Collaborating with data engineers data scientists and other stakeholders to execute the data strategy.
Communicating and defining data architecture patterns in the organization that guide the data framework.
Support/lead data teams to develop secure scalable high-performance and reliable systems to support data migration data cleansing and reporting.
Other activities to support data migration/data cleansing as needed by the project team.
Transactional and Analytical Data Modeling expertise.
Strong Data Governance and Data Quality principles and experience with incorporating best data quality practices in data pipelines.
Progressive career with on-hands on Data Engineering experience.

EY Building a better working world

EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.

Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.

Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.

Required Experience:

Manager