Snowflake Data Engineer: Scalable Pipelines & DW Excellence

GBIT (Global Bridge InfoTech Inc); Richardson (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

GBIT (Global Bridge InfoTech Inc) is searching for a skilled Data Engineer in Richardson, Texas. The role involves designing and maintaining scalable data pipelines using Snowflake and cloud platforms, with a strong emphasis on data quality and performance optimization. Candidates should have hands-on experience with Snowflake, advanced SQL skills, and familiarity with ETL/ELT tools. Collaboration with analysts and data scientists is key. A competitive salary and benefits package will be offered.

Qualifications

• Strong hands-on experience with Snowflake is a must.
• Proficiency in SQL at an advanced level is required.
• Experience with ETL/ELT tools like dbt, Informatica, Talend, or Airflow is expected.
• Experience in cloud platforms such as AWS, Azure, or GCP is necessary.
• Strong programming skills in Python, Scala, or Java are needed.
• Experience with data modeling, specifically star or snowflake schema, is required.
• Familiarity with data lakes, data warehousing concepts is preferred.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and cloud platforms.
• Build and optimize data models, data warehouses, and data marts.
• Implement ETL/ELT workflows for structured and semi-structured data.
• Work with large datasets to ensure data quality, integrity, and performance optimization.
• Collaborate with business stakeholders, analysts, and data scientists.
• Optimize Snowflake performance including clustering and query tuning.
• Develop and manage data ingestion frameworks from multiple sources.
• Ensure data governance, security, and compliance standards.

Skills

Snowflake

SQL

ETL/ELT tools

Cloud platforms

Python

Scala

Java

Data modeling

Data lakes

Big data technologies

Job description

GBIT (Global Bridge InfoTech Inc) is searching for a skilled Data Engineer in Richardson, Texas. The role involves designing and maintaining scalable data pipelines using Snowflake and cloud platforms, with a strong emphasis on data quality and performance optimization. Candidates should have hands-on experience with Snowflake, advanced SQL skills, and familiarity with ETL/ELT tools. Collaboration with analysts and data scientists is key. A competitive salary and benefits package will be offered.