Data Engineer

Role

Location

Job Summary:

We are seeking a skilled Snowflake Data Engineer with strong expertise in Snowflake, Azure Data Factory, Data Modeling, SQL, and Python. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and transforming raw data into usable datasets that support analytics and reporting initiatives.

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)