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EY GDS – Data and Analytics (D and A) – Snowflake Data Engineer
We’re looking for candidates with strong technology and data understanding in 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 snowflake DW in a cloud environment using AWS
• ETL development, and deployment to Cloud Service
• Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams

Skills and attributes for success

• 3 to 7 years of Hands-on experience in the field of data warehousing, ETL
• Hands on development experience in Snowflake.
• Experience in Snowflake modelling - roles, schema, databases.
• Experience in Integrating with third-party tools, ETL, DBT tools
• Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable
• Applying object-oriented and functional programming styles to real-world problems using Scala/Python
• Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data.
• Basic understanding of AWS S3, Lambda, EMR, Glue
• Good understanding of different file format (ORC, Parquet, AVRO) to optimize queries/processing and compression techniques
• Familiar with DevOps. Preferable – having deployment knowledge

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 3 to 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.
• Good analytical skills and enjoys solving complex technical problems
• Proficiency in Software Development Best Practices
• Good debugging and optimization skills
• Good communicator (written and verbal formal and informal).
• Client management skills is good to have

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