EY - GDS Consulting - AI And DATA - Snowflake - Senior at EY

, kerala, India -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL Development, Data Engineering, Snowflake, Data Migration, Data Processing, Collaboration, Troubleshooting, Documentation, Python, Problem-Solving, Attention to Detail, Team Environment, Snowflake Architecture, ETL Tools, Cloud Platforms, Data Modeling

Industry

Professional Services

Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY GDS - Data and Analytics – Snowflake Data Engineer EY GDS is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunity We’re looking for a candidate with overall 3 – 5 years of experience and he/she should have strong expertise into cloud data engineering using Snowflake. Key skills required for the role (Primary): Develop, optimize, and maintain complex SQL queries and stored procedures in Snowflake. Assist in data migration and conversion projects using SnowConvert. Work with Cortex for advanced analytics and data processing tasks. Collaborate with data engineers to ensure data integrity and performance. Troubleshoot and resolve issues related to SQL queries and Snowflake environments. Document processes, queries, and best practices for future reference. Utilize Python for scripting, automation, and data processing tasks. Required Skills & Qualifications: 4–8 years of experience in SQL development and data engineering. Proficiency in SQL, with the ability to write and optimize complex queries and stored procedures. Hands-on experience with Snowflake data warehouse. Prior experience with SnowConvert for code conversion and migration. Strong knowledge of Python for data manipulation and automation. Strong problem-solving skills and attention to detail. Ability to work in a collaborative team environment. Understanding of Snowflake architecture. Preferred Qualifications Snowflake Certified (SnowPro Core or Advanced) – added advantage. Familiarity with Cortex for data analytics and processing – added advantage. Knowledge of ETL tools and data integration processes. Experience with cloud platforms (AWS, Azure, or GCP). Understanding of data modeling and performance tuning in Snowflake. Skills and attributes for success Strong communication, presentation and team building skills and experience in producing high quality deliverables. What we look for A Team of people with technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers 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 control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: 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 EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Responsibilities

The role involves developing, optimizing, and maintaining complex SQL queries and stored procedures in Snowflake, as well as assisting in data migration projects. The candidate will collaborate with data engineers to ensure data integrity and troubleshoot issues related to SQL queries and Snowflake environments.