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Design and develop automated ELT/ETL pipelines while managing enterprise-level cloud data platforms. Implement data governance frameworks and build BI-ready datasets using Snowflake and modern data architecture standards.
Experience: 5+ Years
We are looking for an experienced Senior Snowflake Data Engineer / Data Architect to design, develop, and manage enterprise-level cloud data platforms.
Key Responsibilities:
Design and develop automated ELT/ETL pipelines using Python, SQL, and Snowflake.
Implement and manage Medallion Architecture (Bronze, Silver, Gold).
Build and optimize data warehouses, Lakehouse solutions, and data models.
Perform data migration from legacy systems to modern cloud platforms.
Manage data governance, metadata, and data lineage using Alation.
Develop data quality frameworks, reporting solutions, and BI-ready datasets.
Document architecture, technical standards, and best practices.
Required Skills:
5+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
Strong hands-on experience with Snowflake.
Expert-level SQL and Python skills.
Experience building automated ELT/ETL pipelines.
Knowledge of Medallion Architecture and Lakehouse solutions.
Strong data modeling knowledge (Facts, Dimensions, Star Schema).
Hands-on experience with Alation Data Catalog.
Experience with data governance, metadata management, and data lineage.
Experience with structured and semi-structured data (JSON, APIs).
Preferred Skills:
Snowpark, Snowflake Streams and Tasks.
dbt and ER Studio.
Cloud data architecture and Agile environments.
Education: Bachelor's degree in Computer Science, IT, Data Analytics, or a related field preferred.
Interested candidates can share their updated resumes for consideration.
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