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Data Engineer C2C reqs with Snowflake Architect and (GEN AI exp)

Data Engineer with Snowflake Architect and (GEN AI exp)
Austin, TX (5x/ week onsite)- Local to TX

6+ Months C2H

Rate: $60-$65 C2C

JD:

MUST HAVE:
• Hands-on experience with writing Complex queries using – Joins, Self Joins, Views, Materialized Views, Cursor also Recursive, use of GROUP BY, PARTITION BY functions / SQL Performance tuning
• Hands-on experience with ETL and Dimensional Data Modelling – Slowly Changing Dimensions (SCD – Type 1, 2, 3)
o Good understanding of concepts like schema types, table types – fact-dimension etc. like how to design a dimension vs fact, design considerations factored etc.
• Proficiency in Python scripting/programming – using Pandas, PyParsing, Airflow.
o Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs
o Setting up Python scripts on DataLab, scheduling processes, connecting with DataLake (S3 etc )
o Data Pipeline automation
• Good understanding on Snowflake Architecture – experience with designing and building solutions.

o Architecture, design aspects, performance tuning, time travel, warehouse concepts – scaling, clustering, micro-partitioning
o Experience with SnowSQL, Snowpipe

• Must Have – Experience with Snowflake performance optimization techniques
• Own project delivery collaborating with Offshore.
• Actively participating in discussions with business to understand requirements and provide suitable solutions.
• Experience with AI (very beneficial) and advanced AI integration –
o Good experience with Gen AI and LLM Integration which includes:
§ Having good understanding of RAG
§ Prompt and Context Engineering – structure, query and manage data context fed to LLMs
§ Vector Data Management – handling and storing data (also unstructured) in vector databases, indices for semantic search and RAG
§ Experience with LLM Orchestration frameworks – LangChain, LlamaIndex

Contact Information

Email: navneet.jha@siriinfo.com

Click the email address to contact the job poster directly.

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