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Depends on Experience

Job Details

Skills

ReactJS
snowflake
SQL

Summary

Job Title: Snowflake Data Engineer – ReactJS

Work Location: Any Infosys Hub office (Hybrid)

Contract duration: Long term contract

Job Description

Skillset :

Mandaotory UI / UX : ReactJS
Mandatory Snowflake Expertise: Proven experience implementing and managing data solutions within the Snowflake ecosystem.
Data Pipelines: Experience building data pipelines.
Data Analysis: Strong understanding of data analysis techniques for validation requirements.
Advanced SQL: Complex querying, data manipulation, and performance tuning across Snowflake and SQL Server environments.
Data Engineering Fundamentals: Solid understanding of data engineering principles, data modeling, ETL/ELT methodologies, and data pipeline orchestration.
Snowflake Features: Familiarity with Copy, Stored Procedures, and Views.
Python: Basic proficiency for data processing, scripting, and automation.
DevOps: Experience deploying applications using Bit/Git version control, CGW server, Kafka, MySQL, AWS, and cloud hosting platforms.
Soft Skills: A positive attitude and eagerness to learn emerging technologies.
Good to Have: Experience with Snowflake Cortex workloads is a significant advantage.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: mategr
Position Id: Nilesh_Payal91
Posted 9 hours ago

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Murtuza Tajir

Recruiter @ ClifyX

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Summary

Job Title: Snowflake Data Engineer – ReactJS

Work Location: Any Infosys Hub office (Hybrid)

Contract duration: Long term contract

Job Description

Skillset :

Mandaotory UI / UX : ReactJS
Mandatory Snowflake Expertise: Proven experience implementing and managing data solutions within the Snowflake ecosystem.
Data Pipelines: Experience building data pipelines.
Data Analysis: Strong understanding of data analysis techniques for validation requirements.
Advanced SQL: Complex querying, data manipulation, and performance tuning across Snowflake and SQL Server environments.
Data Engineering Fundamentals: Solid understanding of data engineering principles, data modeling, ETL/ELT methodologies, and data pipeline orchestration.
Snowflake Features: Familiarity with Copy, Stored Procedures, and Views.
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Soft Skills: A positive attitude and eagerness to learn emerging technologies.
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Dice Id: mategr
Position Id: Nilesh_Payal91
Posted 9 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Murtuza Tajir

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