
Snowflake Data Engineer
3 days ago
Mandate Skills:
1. ADF
2. Snowflake
3. Data Modeling
4. SQL
5. Python
6. Pyspark
7. Databricks
Key Responsibilities:
- Design and develop robust data pipelines and ETL/ELT processes using Snowflake.
- Build and maintain dimensional and relational data models to support business intelligence and analytics.
- Develop SQL scripts and optimize queries for performance and scalability in Snowflake.
- Use Python for data processing, automation, and integration tasks as needed.
- Design, schedule, and manage pipelines using Azure Data Factory.
- Ensure data quality, consistency, and security across platforms.
- Work closely with data analysts, business stakeholders, and other engineers to gather requirements and deliver solutions.
- Monitor, troubleshoot, and optimize existing data workflows and systems.
Mandate Key Skills:
- Snowflake data warehousing, SnowSQL, performance optimization
- Azure Data Factory pipelines, triggers, dataflows
- SQL complex queries, performance tuning
- Python – scripting and data manipulation
- Data Modeling – star schema, snowflake schema, normalized/denormalized structures
Secondary Skills:
- Snowpipe
- Snowpark
- Snowflake Streams and Tasks
- Databricks
- DBT (Data Build Tool)
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