Senior Data Engineer

Primary Skills

- DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Protected, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, PLSQL, T-SQL, Stored Procedures

Job requirements

- Design, develop, and maintain robust ELT/ETL data pipelines to load structured and semi-structured data into Snowflake. Implement data ingestion workflows using tools like Azure Data Factory, Informatica, DBT, or custom Python/SQL scripts.
- Write and optimize complex SQL queries, stored procedures, views, and UDFs within Snowflake.
- Use Snowpipe for continuous data ingestion and manage tasks, streams, and file formats for near real-time processing Optimize query performance using techniques like clustering keys, result caching, materialized views, and pruning strategies. Monitor and tune warehouse sizing and usage to balance cost and performance.
- Design and implement data models (star, snowflake, normalized, or denormalized) suitable for analytical workloads.
- Create logical and physical data models for reporting and analytics use cases.

📌 Senior Data Engineer752 (Hyderabad)
🏢 Recognized
📍 Hyderabad