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Hi,   

Hope you are doing well!!                                                                                                                                

I have an urgent requirement with one of my client. Please find the job details below and forward me your updated resume along with your contact details at Pavankumar.v@itechus.net or Call Me at 802-778-1770

Position –  Sr Snowflake Data Engineer
Duration – Longterm Contract
Location – Austin, TX- Hybrid – Locals preferred

Need only H1B

Essential Skills: 

• Should have Minimum 13+ years of experience
• Should have string experience in Snowflake, Python, Data Warehouse, ETL, SnowSQL, Snowpipe, Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs
• Expert level fluency with Snowflake, SQL, Tableau, and Python is required.
• Experience with data modeling in Snowflake, performance tuning the queries and optimization.
• Computational analysis using Snowflake, mySQL, Python, Tableau and Business Objects.
• Experience with building Cloud Native applications using AWS.Preferred Qualifications:
• Hands-on experience with ETL and Dimensional Data Modelling – Slowly Changing Dimensions (SCD – Type 1, 2, 3).
• Proficiency in Python scripting/programming – using Pandas, PyParsing, Airflow.
• Design, develop, and maintain data pipelines and architectures to support analytical needs.
• Excellent communication and presentation skills.
• Hands-on experience with writing Complex queries using – Joins, Self Joins, Views, Materialized Views, Cursor also Recursive, use of GROUP BY, PARTITION BY functions.
• Proficiency in Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs.
• Experience with SnowSQL, Snowpipe.
• Experience with Snowflake performance optimization techniques.
• Own project delivery collaborating with Offshore.
• Ability to bridge the gap between business needs and technical capabilities.
• Translating complex analytical requirements into actionable data solutions and automation across tools and platforms.• Create and maintain reports, create and manage data models, leverage data across complex hierarchies using multiple data sources.
• Actively participating in discussions with business to understand requirements and provide suitable solutions.

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