Senior - Snowflake

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.

Role

EY GDS Data and Analytics (D&A) Snowflake Data engineers

Overview

As part of our EY-GDS D&A (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.

Your key responsibilities

• Develop & deploy big data pipelines in a cloud environment using Snowflake cloud DW
• 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

• Hands on developer in the field of data warehousing, ETL
• Hands on development experience in Snowflake.
• Experience in Snowflake data modelling - roles, schema, databases and security policies.
• Hands on development experience with Tasks, Streams and stages on Snowflake
• Hands on experience in Data Integration using third-party tools like DBT
• DBT Modelling and CDC Handling knowledge
• Knowledge in Version Control and Event Trigger or scheduled Tasks
• Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable
• Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data.

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 4-7 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, youll also have

• Client management skills

What we look for

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