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High Salary: Data Engineer
4 weeks ago
Experience: 5 to 10 Years
Mandate Skills: Snowflake + Python + Data warehousing + Certification (Snowpro Advance Architecture or Snowpro Advanced Administrator)
Location: Preferably Hyderabad or Pune/Bangalore)
NP: Immediate/Early Joiners only (Max 15 to 20 Days)
JD:
Looking for a skilled Data Engineer with hands-on experience in Snowflake, Python, and Snowpark to join data platform team.
The ideal candidate will work on developing scalable data pipelines, optimizing data flows, managing semi-structured data, and building internal tools using Streamlit within Snowflake. A strong understanding of data modeling and SQL is essential.
Key Responsibilities:
Design and develop Python-based stored procedures using Snowpark for data ingestion, transformation, and automation tasks.
Work with metadata-driven frameworks to dynamically create or recreate data tables and manage ETL flows.
Build internal apps and tools using Streamlit in Snowflake to enable self-service and improve data accessibility.
Work extensively with semi-structured data (e.g., JSON in VARIANT columns), including flattening, transformation, and enrichment.
Write complex SQL queries involving CTEs, joins, window functions like ROW_NUMBER(), and performance tuning.
Contribute to data modeling activities including star/snowflake schema designs, fact/dimension tables, and data lineage documentation.
Collaborate closely with data analysts, business users, and product teams to understand data requirements and deliver data-driven solutions.
Required Skills:
Strong hands-on experience with Snowflake and its features (warehouse management, tasks, streams, etc.).
Proficiency in Python, especially in using it within Snowflake's Snowpark framework.
Experience handling and transforming semi-structured data (JSON/VARIANT columns).
Strong SQL skills including writing and optimizing queries with CTEs, JOINs, and window functions.
Experience with data modeling concepts and best practices.
Familiarity with metadata-driven ETL design patterns is a plus.
