snowflake developer

Topsys IT; Alpharetta (GA); Vor Ort; USD 110.000 - 160.000; Vollzeit

Zusammenfassung

Topsys IT in Atlanta is seeking a Snowflake Developer with Python experience to design and maintain data pipelines for analytics and reporting.

You will build Python scripts and SQL queries to load and transform data in Snowflake, optimize warehouses, automate data jobs, and ensure data security in line with financial industry standards. Collaboration with analysts and engineers is essential to deliver clean datasets on time.

Qualifikationen

• 3+ years in data engineering or database development.
• Hands-on Snowflake (Tables, Views, Streams, Tasks, and performance tuning).
• Python for data processing (pandas, Snowpark, or API scripting).
• Strong SQL queries and stored procedures.
• Experience with cloud platforms (AWS or Azure) and version control (Git).

Aufgaben

• Build Data Pipelines: Write Python scripts and SQL queries to load and transform data into Snowflake.
• Optimize Snowflake: Improve query speed, manage virtual warehouses, and control compute costs.
• Automate Workflows: Set up automated data jobs, error checks, and API data pulls using Python.
• Maintain Data Security: Follow banking security rules for data access and privacy.
• Collaborate: Work with analysts and engineers to deliver clean, reliable datasets on time.

Kenntnisse

Data pipelines

Python coding

SQL proficiency

Data security awareness

Collaboration

Tools

Snowflake

AWS

Git

Jobbeschreibung

In-Person Interview

Role Overview

We are looking for a Snowflake Developer with Python experience to join our Atlanta tech team. You will build and maintain data pipelines that move, clean, and organize financial data for business analytics and reporting.

What You Will Do

• Build Data Pipelines: Write Python scripts and SQL queries to load and transform data into Snowflake.
• Optimize Snowflake: Improve query speed, manage virtual warehouses, and keep cloud compute costs low.
• Automate Workflows: Set up automated data jobs, error checks, and API data pulls using Python.
• Maintain Data Security: Follow strict banking security rules for data access and privacy.
• Collaborate: Work with analysts and engineers to deliver clean, reliable datasets on time.

What You Need

• Experience: 3+ years in data engineering or database development.
• Snowflake: Strong hands-on skills with Snowflake (Tables, Views, Streams, Tasks, and performance tuning).
• Python: Solid coding experience in Python for data processing (e.g., pandas, Snowpark, or API scripting).
• SQL: Strong ability to write complex SQL queries and stored procedures.
• Cloud & Tools: Basic experience with AWS (or Azure) and Git for version control.

Nice to Have

• Background in banking, finance, or wealth management.
• Experience with tools like Airflow, dbt, or Spark.