Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Business Intelligence
Data Analysis
Data Governance
Data Integrity
Data Modeling
Data Warehouse
Finance
Functional Requirements
Migration
Orchestration
Regulatory Compliance
SQL Tuning
Snow Flake Schema
Job Details
Role: Snowflake Engineer (Big Query Migration)
Location: Jersey City, NJ / Dallas, TX / Tampa, FL - hybrid onsite (LOCAL CANDIDATES ONLY!)
Duration: 6+ months
Type: C2C OR W2
Snowflake Engineer (Big Query Migration)
- Leads the migration of enterprise-scale data pipelines and analytics workloads from Google BigQuery to Snowflake.
- This role requires deep expertise in Snowflake architecture, SQL optimization, and data modeling, as well as hands-on experience with BigQuery schemas, UDFs, and partitioning strategies.
- The engineer will be responsible for translating query logic, optimizing performance, and ensuring data integrity throughout the migration.
- Familiarity with orchestration tools (e.g., Airflow, dbt), secure data sharing, and compliance with financial data governance standards is essential.
- The Data Analytics workstream is comprised of the following high level objectives
- Migrate LedgerScan data warehouse from Google BigQuery to Snowflake
- Deliver Ledgerscan data analytics requirements on the Snowflake platform
- Ensure all non-functional requirements are built into the solution (Capacity, Integrity, Resiliency, Availability, Security, Performance)
- Enable consumption and dissemination of data via APIs andor BI tools
Location: Jersey City, NJ / Dallas, TX / Tampa, FL - hybrid onsite (LOCAL CANDIDATES ONLY!)
Duration: 6+ months
Type: C2C OR W2
Snowflake Engineer (Big Query Migration)
- Leads the migration of enterprise-scale data pipelines and analytics workloads from Google BigQuery to Snowflake.
- This role requires deep expertise in Snowflake architecture, SQL optimization, and data modeling, as well as hands-on experience with BigQuery schemas, UDFs, and partitioning strategies.
- The engineer will be responsible for translating query logic, optimizing performance, and ensuring data integrity throughout the migration.
- Familiarity with orchestration tools (e.g., Airflow, dbt), secure data sharing, and compliance with financial data governance standards is essential.
- The Data Analytics workstream is comprised of the following high level objectives
- Migrate LedgerScan data warehouse from Google BigQuery to Snowflake
- Deliver Ledgerscan data analytics requirements on the Snowflake platform
- Ensure all non-functional requirements are built into the solution (Capacity, Integrity, Resiliency, Availability, Security, Performance)
- Enable consumption and dissemination of data via APIs andor BI tools
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