Google Cloud Platform Data Engineer/Modeler With Azure - Issaquah, WA (3 days a week onsite) - C2C - CH

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

gcp
Data Modeler
Azure
data Engineer

Job Details

Role: Google Cloud Platform Data Modeler

Location: Issaquah, WA (3 days a week onsite)

Duration: 12+ Months

Must have:

  • 8 + Years of exp in Data Modeling
  • 3 + Years of Exp in Google Cloud Platform
  • 6+ Years In Erwin, Snowflake, Python, Snowflake, Azure Synapse

Requirements:

  • Bachelors or Masters degree in Computer Science, Information Systems, or related field.
  • 7+ years of experience in data modeling, preferably in the retail industry.
  • Expert-level SQL query development and optimization experience.
  • Proficiency in Python and data modeling tools like Erwin or ER/Studio.
  • Experience with cloud platforms (Azure, and Google Cloud Platform) and retail data solutions (e.g., Snowflake, Azure Synapse).
  • Strong understanding of OLTP and OLAP systems in a retail context.
  • Familiarity with retail KPIs such as sell-through rate, inventory turnover, and customer lifetime value.

Responsibilities:

  • Retail Data Modeling: Design and maintain conceptual, logical, and physical data models for retail systems including POS, inventory, CRM, and e-commerce platforms.
  • Reverse Engineering: Analyze and reverse engineer existing table structures from legacy systems to understand data relationships and dependencies.
  • Data Migration Mapping: Build comprehensive mapping documents to support one-time data loads from legacy systems into modern data platforms.
  • SQL Development: Write and optimize complex SQL queries for data profiling, transformation, validation, and reporting. Strong SQL skills are a critical requirement for this role.
  • Customer & Product Analytics: Develop models that support customer segmentation, product performance tracking, and personalized marketing.
  • Collaboration: Work with data engineers, business analysts, and merchandising teams to translate retail business needs into scalable data solutions.
  • ETL & Integration: Develop and optimize ETL pipelines for integrating data from retail systems (e.g., ERP, WMS, loyalty platforms) using tools like Talend, SSIS, or Azure Data Factory.
  • Data Warehousing: Architect retail data warehouses and data lakes to support reporting and advanced analytics.
  • Governance & Quality: Ensure data models adhere to governance standards and support high data quality across retail domains.
  • Documentation: Maintain metadata repositories and document data lineage, definitions, and usage across retail systems.
  • Performance Monitoring: Monitor and tune data models for performance, especially for high-volume retail transactions and real-time analytics.
  • Identifies ways to improve data reliability, efficiency, and quality of data management. Communicates technical concepts to non-technical audiences both written and verbal.

Thanks

Yashasvi Hasija

Technical Recruiter | Empower Professionals

......................................................................................................................................

| Phone: x 368 | Fax:

LinkedIn: linkedin.com/in/yashasvi-hasija-6a745625b

100 Franklin Square Drive Suite 104 | Somerset, NJ 08873

Certified NJ and NY Minority Business Enterprise (NMSDC)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.