Snowflake Engineer - Hybrid/Onsite(Face to Face Interview)

About GSPANN:

Headquartered in California, U.S.A., GSPANN is a leading provider of consulting and IT services to global clients. We specialize in helping clients transform their IT capabilities, optimize business practices, and drive operational efficiency across industries such as retail, high-technology, and manufacturing. With five global delivery centers and over 2500 employees, we combine the personalized approach of a boutique consultancy with the extensive capabilities of a large IT services firm.

Location: Houston, TX (3 Days Hybrid/Local Candidates Only)

Duration Long Term.

Experience: 12 + years in Data Engineering

Core Skills: Strong proficiency in SQL and Scripting, Snowflake

Key Responsibilities:

1. Designing and implementing scalable data pipelines
2. Building and managing data warehouses and data lakes
3. Ensuring data quality and implementing data management best practices
4. Optimizing data storage and retrieval processes
5. Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives.
6. CI/CD orchestration and automation tools: Experience with tools such as Jenkins, GitHub etc.
7. Monitor and tune Snowflake query performance, warehouse usage, and credit consumption.
8. Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives.
9. Design and enforce row-level access policies and dynamic masking in Snowflake for sensitive data fields (PII, financials).
10. Enabled data sharing with external teams using secure shares and reader accounts while maintaining strict RBAC controls.
11. Experience with ETL /Scheduler tools.
12. Strong interpersonal, written, and verbal communication skills to interact effectively across teams and stakeholders.
13. Designing semantic layers, aggregate tables, and data models (Star/Snowflake) to support scalable, governed, and business-friendly analytics architecture.

Good to have:

1. Machine Learning and AI/LLM model training / implementation.

• 2. Background in data observability, lineage tracking, or metadata management tools.

Working at GSPANN

GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry.The company does and will take affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disabled.