EY Hiring , Client Technology Data Engineering

Company name :- EY

Post :-Client Technology Data Engineering

Experience:- N/A

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

Location:- Bengaluru

Salary:- N/A

Job description:-The selected candidate

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, develops and produces data models of relatively high complexity, leveraging a sound understanding of data modelling 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

Your key responsibilities include

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 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 and attributes for success

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 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.

Education

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

What we look for

Strong analytical skills and problem-solving ability

A self-starter, independent-thinker, curious and creative person with ambition and passion

Excellent inter-personal, 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

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.

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