Required Skills & Qualifications: 10-12 years of experience in data architecture, data warehousing, and cloud technologies. Strong expertise in Snowflake architecture, data modeling, and optimization. Solid hands-on experience with cloud platforms: AWS , Azure , and GCP . In-depth knowledge of SQL , Python , PySpark , and related data engineering tools. Expertise in data modeling (both dimensional and normalized models). Strong experience with data integration, ETL processes, and pipeline development. Certification in Snowflake , AWS , Azure , or related cloud technologies. Experience working with large-scale data processing frameworks and platforms. Experience in data visualization tools and BI platforms (e.g., Tableau, Power BI). Experience in Agile methodologies and project management. Strong problem-solving skills with the ability to address complex technical challenges. Excellent communication skills and ability to work collaboratively with cross-functional teams.

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