Data Analyst - Cloud Automation & Snowflake SQL

Software Technology Inc; Drum Point (MD); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Software Technology Inc in Maryland seeks a Data Analyst to execute complex data requests, automate workflows, and support enterprise data initiatives for state projects. Proficiency in Snowflake SQL and Python is required to manage data pipelines, audit code, and optimize processes within a Snowflake/AWS environment.

The hybrid work model offers 3 days onsite and 2 days remote, with focus on data quality, profiling, and rapid resolution of discrepancies to support modernization efforts.

Qualifications

• 3+ years with Snowflake SQL, scripting, and optimization.
• 3+ years Python programming for data/automation.
• 3+ years code review, interpretation, and debugging.
• 3+ years data analysis, profiling, and validation.
• 3+ years automating ticket resolutions and data tasks.
• Strong communication and collaboration skills.
• Experience with AWS data warehouse and cloud workflows.

Responsibilities

• Write, debug, and optimize Snowflake SQL scripts for ad-hoc data requests and analysis.
• Review and interpret existing Python/SQL code to troubleshoot and improve automations.
• Develop and deploy Python scripts to automate recurring data tasks and tickets.
• Perform data profiling and validation in Snowflake and AWS to ensure data integrity.
• Serve as technical point of contact for complex data inquiries and deliverables.

Skills

Snowflake SQL

Python Programming

Code Review & Interpretation

Data Analysis & Profiling

Automated Scripting for Ticket Reso

Excellent Communication Skills

Cloud Data Warehouse (AWS)

Tools

Snowflake

AWS

Job description

Software Technology Inc in Maryland seeks a Data Analyst to execute complex data requests, automate workflows, and support enterprise data initiatives for state projects. Proficiency in Snowflake SQL and Python is required to manage data pipelines, audit code, and optimize processes within a Snowflake/AWS environment.

The hybrid work model offers 3 days onsite and 2 days remote, with focus on data quality, profiling, and rapid resolution of discrepancies to support modernization efforts.