Snowflake Data Engineer

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)