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Sr EY - GDS Consulting - AI and DATA - Databricks Professional

  • Source: Naukri
  • EY
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Job highlights

  • . Be a computer science graduate or equivalent with 4-8 years of industry experience. Have working experience in an Agile base delivery methodology (Preferable).
  • . To qualify for the role,you must have

At EY, you ll 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 we re 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.

EY GDS - Data and Analytics (DA) - Azure Data Engineer with Databricks

As part of our EY-GDS DA (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We re looking for candidates with strong technology and data understanding in big 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.

Your key responsibilities

  • Develop deploy big data pipelines in a cloud environment using Azure Cloud services
  • ETL design, development and migration of existing on-prem ETL routines to Cloud Service
  • Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams
  • Design and optimize model codes for faster execution

Skills and attributes for success

  • Overall 4+ years of IT experience with 2+ Relevant experience in Azure Data Factory (ADF) and good hands-on with Exposure to latest ADF Version.
  • Sound knowledge in DataBricks, Pyspark, Python SQL Server
  • Hands-on experience on Azure functions Azure synapse (Formerly SQL Data Warehouse)
  • Should have project experience in Azure Data Lake / Blob (Storage purpose)
  • Should have basic understanding on Batch Account configuration, various control options
  • Should be able to coordinate independently with business stake holders and understand the business requirements, implement the requirements using ADF

To qualify for the role, you must have

  • Be a computer science graduate or equivalent with 4-8 years of industry experience
  • Have working experience in an Agile base delivery methodology (Preferable)
  • Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
  • Excellent communicator (written and verbal formal and informal).
  • Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.

Ideally, you ll also have

Client management skills

What we look for

People with technical experience and enthusiasm to learn new things in this fast-moving environment

At EY, we re dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to :

  • Support, coaching and feedback from some of the most engaging colleagues around
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that s right for you
**EY Building a better working world**

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Skills

  • ey
  • azure-databricks
  • databricks
  • microsoft-azure
  • azure-data-factory
  • pyspark
  • Python
  • microsoft-azure-functions
  • microsoft-azure-synapse
  • azure-storage

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