Posted:None|
Platform:
Work from Office
Full Time
Experience: 8-12 years of overall professional experience, with a minimum of 7 years of hands-on experience in data engineering.
Snowflake Expertise: Proven, in-depth experience with the Snowflake data warehouse platform, including a strong understanding of its architecture, features, and best practices.
SQL Mastery: Expert-level SQL skills for data manipulation, complex query writing, and performance tuning.
ETL/ELT: Extensive experience with ETL/ELT tools and techniques, with a focus on building scalable data pipelines.
Scripting: Proficiency in at least one scripting language (Python is highly preferred) for data processing and automation.
Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), particularly with services related to data storage (e.g., S3, ADLS) and computing.
Data Warehousing: Solid understanding of data warehousing concepts, including Kimball and Inmon methodologies.
Algoleap Technologies
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