Ernst & Young invites applications for Client Technology Data Engineering at EY, Bengaluru. Check below for more details!

About EY

Ernst & Young Global Limited (Ernst & Young or simply EY), is a British multinational professional services network with headquarters in London, United Kingdom. EY is one of the largest professional services networks in the world. EY provides consulting, assurance, tax, and transaction services. It was founded in the year 1989. Along with Deloitte, KPMG, and PricewaterhouseCoopers, it is considered one of the Big Four accounting firms.

Job Description

CT Data Engineer

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. 

  • Leads the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
  • Designs develop and produce data models of relatively high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
  • Builds networks with other departments across the business to help define and deliver business value, and may interface and communicate with program teams, management, and stakeholders as required to deliver small to medium-sized projects.

Experience

  • Strong analytical skills and problem-solving ability.
  • A self-starter, independent-thinker, curious and creative person with ambition and passion.
  • Excellent interpersonal, communication, collaboration, and presentation skills.
  • Customer focused.
  • Excellent time management skills.
  • Positive and constructive-minded.
  • Takes responsibility for continuous self-learning.
  • Takes the lead and makes decisions in critical times and tough circumstances.
  • Attention to detail.
  • High levels of integrity and honesty.

Key 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.
  • 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.
  • Analyzing the latest industry trends such as cloud computing and distributed processing and beginning to infer the risks and benefits of their use in business.
  • Providing technical expertise to maximize value from current applications, solutions, infrastructure, and emerging technologies and seeking 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 modeling processes, procedures, and standards.

Education

B.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred.

Skills and Attributes 

  • Strong hands-on knowledge of SQL server database management.
  • Manage SQL server databases, Cosmos DB, and instances across development to mission-critical production systems.
  • Configure and maintain database servers and processes.
  • Apply data modeling techniques to ensure development and implementation meets performance expectations.
  • Maintain a high level of availability.
  • Monitor system health and performance.
  • Run query plans, query tuning, and schema refinements.
  • Perform scheduled maintenance, patching, and support release deployments.
  • Strong hands-on tuning and optimization using monitoring and troubleshooting tools.
  • Work with developers to refine queries and optimize for performance.
  • Help with database migrations and building database scripts.
  • Work with change and release management teams.
  • Do POC on new database features.
  • Experience with Mongo DB and GraphQL is a plus.

How to Apply?

Interested Candidates can apply online through this link.

Location

Bengaluru, India.

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