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Snowflake Data EngineerGBIT (Global Bridge InfoTech Inc) • Richardson, Texas, United States
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Snowflake Data Engineer

GBIT (Global Bridge InfoTech Inc)
  • US
    Richardson, Texas, United States
  • US
    Richardson, Texas, United States
Apply Now

About

Role: Snowflake Data Engineer Location: Richardson, TX-Hybrid Type: W2 Contract
Job Summary We are looking for a Snowflake Data Engineer to support a large-scale enterprise data modernization initiative focused on PostgreSQL to Snowflake migration, data platform stabilization, reporting enablement, and performance optimization. The ideal candidate should have strong hands-on expertise in Snowflake, SQL optimization, ETL/ELT pipeline development, dimensional data modeling, and enterprise data platform support.
This role will primarily focus on building and stabilizing the end-to-end Snowflake environment, optimizing workloads, supporting analytics/reporting use cases, and ensuring the platform is production-ready and scalable. The candidate will work closely with migration teams, architects, BI/reporting teams, and business stakeholders to support enterprise analytics and operational data requirements.
Responsibilities
Support ongoing PostgreSQL to Snowflake migration activities and post-migration stabilization efforts.
Build, support, and optimize Snowflake-based enterprise data platforms.
Design and implement scalable dimensional data models including Star Schema and Snowflake Schema for analytics and reporting.
Develop and maintain robust ETL/ELT pipelines for data ingestion, transformation, and loading.
Analyze and optimize SQL queries, Snowflake workloads, and warehouse performance for scalability and cost efficiency.
Fine-tune Snowflake virtual warehouses, clustering strategies, caching, and resource utilization.
Support reporting and BI teams by preparing curated, clean, and reliable datasets for dashboards and analytics.
Establish and maintain data governance, security, RBAC, and data quality standards.
Monitor, troubleshoot, and resolve production issues, pipeline failures, and performance bottlenecks.
Support batch and incremental data processing workflows across enterprise systems.
Collaborate with architects, data engineers, reporting teams, and business stakeholders to resolve data-related issues and improve platform performance.
Participate in production support, release management, operational enhancements, and environment stabilization activities.
Ensure the platform is production-ready with proper monitoring, observability, scalability, and operational best practices.
Support evaluation of graph-based data relationships and connected-data use cases using technologies such as Neo4j and GraphDB.
Required Skills
Strong hands-on experience with Snowflake Data Warehouse.
Expertise in SQL query optimization, performance tuning, and workload management.
Strong experience in ETL/ELT pipeline development and support.
Strong understanding of Snowflake architecture including:
Virtual Warehouses
Micro-partitions
Clustering
Caching
Resource Monitors
Cost Optimization
Experience with orchestration and pipeline tools such as:
Airflow
DBT
Informatica
Matillion
Azure Data Factory (ADF)
Similar enterprise ETL tools
Strong understanding of dimensional modeling concepts:
Star Schema
Snowflake Schema
Fact and Dimension modeling
Experience supporting analytics/reporting ecosystems and BI integrations.
Experience with data governance, RBAC/security, monitoring, and production support.
Strong troubleshooting, analytical, and problem-solving skills.
Exposure to PostgreSQL and migration support activities.
Ability to work in a collaborative enterprise environment with multiple stakeholders.
Qualifications
Experience supporting post-migration enterprise environments.
Exposure to graph database technologies such as Neo4j or GraphDB.
Experience with AWS, Azure, or GCP cloud ecosystems.
Knowledge of CI/CD and DevOps practices for data engineering platforms.
Experience supporting large-scale enterprise analytics and reporting environments.
  • Richardson, Texas, United States

Languages

  • English
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