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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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