Job Description

#

Key Responsibilities

Design, develop, and maintain data pipelines and workflows using

Snowflake

. Write efficient

Python

scripts for data extraction, transformation, and automation. Implement

Snowflake best practices

for performance optimization and cost management. Develop and manage

ETL processes

for loading data into Snowflake from various sources. Collaborate with data analysts, scientists, and business teams to deliver data solutions. Ensure

data security

, governance, and compliance within Snowflake environment. Monitor and troubleshoot data workflows and resolve production issues.
#

Required Skills

Strong proficiency in

Python

programming. Hands-on experience with

Snowflake

(including SnowSQL, Snowpipe, Streams, Tasks). Knowledge of

SQL

and query optimization techniques. Familiarity with

cloud platforms

(AWS, Azure, or GCP) and their integration with Snowflake. Experience with

ETL tools

(e.g., Airflow, dbt, Informatica) and data modeling. Understanding of

data warehousing concepts

and

performance tuning

.
#

Nice-to-Have

Experience with

Snowflake Python Connector

or

Snowpark for Python

. Knowledge of

CI/CD pipelines

,

Git

, and DevOps practices. * Familiarity with

BI tools

(Tableau, Power BI) for data visualization.