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Data Engineer / Data Modeler (ETL & Analytics Focus)

Georgia Tek Systems

MN, MN

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JOB DETAILS
SKILLS
Artificial Intelligence (AI), Automation, Business Intelligence, Business Support, Cloud Computing, Data Analysis, Data Management, Data Modeling, Data Quality, Database Extract Transform and Load (ETL), Database Technology, Decision Support, Health Insurance, Informatica, Machine Learning, Microsoft Windows Azure, Oracle Database, Oracle PL-SQL, Performance Analysis, Power BI, Predictive Modeling, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Storytelling, Tableau, Traceability, Trend Analysis
LOCATION
MN, MN
POSTED
30+ days ago
Title: Data Engineer / Data Modeler (ETL & Analytics Focus)
Location: Minnetonka, MN (Hybrid – 3 Days Onsite)
Duration: 8–12 Months
Note: Only local candidates will be considered
Domain- Healthcare insurance

Role Overview
We are seeking a highly versatile Data Engineer with strong Data Modeling and Analytics capabilities who can operate at the intersection of engineering and business insights. This role requires hands-on expertise in building robust ETL pipelines, designing scalable data models, and enabling data-driven decision-making in a healthcare insurance environment.

Core Responsibilities
  • Architect and develop scalable data pipelines and optimized storage solutions for enterprise analytics
  • Design and maintain source-to-target mappings ensuring accuracy and traceability across systems
  • Build and optimize ETL workflows using Informatica (PowerCenter / IDMC)
  • Develop complex SQL / PL-SQL logic for transformation, validation, and reporting
  • Ensure data quality, governance, and security across the data lifecycle
  • Collaborate with business and technical stakeholders to translate requirements into data solutions
  • Monitor and enhance performance of ETL jobs and database systems
  • Support cloud data platforms (Snowflake, Azure, Kafka preferred)
Data & Analytics Responsibilities
  • Perform exploratory data analysis (EDA) to uncover trends and insights
  • Develop dashboards and reports using Power BI, Tableau, or Excel
  • Automate workflows using Python or R
  • Support business intelligence initiatives and data storytelling
  • Document data flows, mappings, and governance standards
AI & Advanced Analytics (Preferred)
  • Apply machine learning techniques for predictive analytics and automation
  • Build and deploy models using tools such as TensorFlow, scikit-learn, PyTorch, or Azure ML
  • Enhance analytics capabilities with AI-driven insights and decision support systems

Required Skills & Experience
  • Strong experience in Data Engineering & ETL development
  • Hands-on expertise with Informatica PowerCenter / IDMC
  • Advanced proficiency in SQL and Oracle PL/SQL
  • Solid understanding of Data Modeling (dimensional & relational)
  • Experience in data analysis and reporting
  • Domain experience in Healthcare Insurance

About the Company

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Georgia Tek Systems