Snowflake Developer

Robotics Technologies; Chicago (IL); In loco; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

Robotics Technologies LLC in Chicago seeks an experienced Data Engineer to design and implement Snowflake-based data warehouses. You will build scalable ETL/ELT pipelines, optimize SQL queries, and ensure data quality and governance across cloud platforms.

The role requires 5–8 years in data engineering with Snowflake expertise, strong SQL, and experience with data integration tools. On-site position with collaboration across analytics teams.

Competenze

• 5–8 years of experience in data engineering or data warehouse development.
• 3+ years of hands-on experience with Snowflake.
• Strong SQL, data transformation, and query optimization skills.
• Experience building enterprise-scale ETL/ELT workflows.
• Experience with cloud platforms and data integration tools.
• Experience handling large datasets and data migrations.

Mansioni

• Design, develop, and maintain scalable data warehouse solutions in Snowflake.
• Build and optimize complex SQL queries, views, and stored procedures.
• Develop ETL/ELT pipelines to integrate data from multiple source systems.
• Configure Snowflake Streams and Tasks for automated data processing.
• Monitor warehouse performance and optimize query execution.
• Implement data validation, quality checks, and reconciliation processes.
• Integrate Snowflake with cloud storage and external data platforms.
• Manage data access, security policies, and user permissions.
• Collaborate with data engineers, architects, and analytics teams.

Conoscenze

SQL

Snowflake

SnowSQL

Python

Snowpark

Data Modeling

ETL/ELT

Query Optimization

Cloud Data Integration

Data Warehousing

Formazione

Bachelor's degree in Data Engineering, Computer Science, Information Systems, or Applied Mathematics

Strumenti

Informatica

Matillion

dbt

Fivetran

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Position Overview:

This role focuses on building and optimizing modern cloud-based data warehouse solutions using Snowflake. The ideal candidate will have strong expertise in SQL, Snowflake architecture, data pipeline development, and cloud data integration, with the ability to handle large-scale enterprise data environments.

Technical Skill Requirements:

Strong hands-on experience with Snowflake data warehouse architecture.

Advanced proficiency in SQL and SnowSQL.

Experience with Snowflake Streams, Tasks, and Stored Procedures.

Knowledge of Snowflake virtual warehouses and query performance optimization.

Familiarity with Python, Snowpark, and scripting.

Experience with AWS, Azure, or Google Cloud Platform.

Knowledge of data modeling, dimensional modeling, and database design.

Experience with tools such as Informatica, Matillion, dbt, or Fivetran.

Understanding of data security, role-based access control, and data governance.

Core Responsibilities:

Design, develop, and maintain scalable data warehouse solutions in Snowflake.

Build and optimize complex SQL queries, views, and stored procedures.

Develop ETL/ELT pipelines to integrate data from multiple source systems.

Configure Snowflake Streams and Tasks for automated data processing.

Monitor warehouse performance and optimize query execution.

Implement data validation, quality checks, and reconciliation processes.

Integrate Snowflake with cloud storage and external data platforms.

Manage data access, security policies, and user permissions.

Collaborate with data engineers, architects, and analytics teams.

Experience & Technical Background:

5–8 years of experience in data engineering or data warehouse development.

3+ years of hands-on experience working with Snowflake.

Strong expertise in SQL, data transformation, and query optimization.

Experience building enterprise-scale ETL/ELT workflows.

Practical knowledge of cloud platforms and data integration tools.

Experience handling large datasets and complex data migration projects.

Strong analytical, troubleshooting, and problem-solving abilities.

Academic & Professional Qualifications:

Bachelor's degree in Data Engineering, Computer Science, Information Systems, or Applied Mathematics.

Graduate-level coursework in Data Architecture, Cloud Computing, or Database Systems is an advantage.

SnowPro Core or SnowPro Advanced certifications are preferred.

Certifications in AWS, Azure, dbt, or cloud data engineering are beneficial.

Relevant hands-on experience delivering Snowflake data warehouse projects is highly valued.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.