Data Extraction Specialist

  • Posted 21 days ago | Updated 21 days ago

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent

Skills

API
Amazon Web Services
Data Structure
Data Warehouse
Database
Data Engineering
Data Extraction
Data Governance
Enterprise Resource Planning
Cloud Computing
Microsoft Power BI
Extract
Transform
Load
Data Quality
SQL
SOAP
Microsoft Azure
Python
PL/SQL

Job Details

Job Summary:We are seeking a skilled Data Extraction Specialist to develop and maintain robust data extraction scripts against the Industrious ERP system. The ideal candidate will have strong SQL and scripting experience, a deep understanding of relational databases, and hands-on experience integrating ERP data into downstream systems for reporting, analytics, or process automation.Key Responsibilities:Develop, test, and maintain scripts to extract data from the Industrious ERP database.Collaborate with business analysts and stakeholders to understand data requirements.Ensure data quality, consistency, and performance in all extraction jobs.Automate data extraction processes for scheduled and ad hoc needs.Create technical documentation for all scripts and data workflows.Work with IT and data engineering teams to integrate extracted data into data warehouses or reporting tools.Ensure compliance with internal data governance and security standards.Required Qualifications:Proven experience with SQL (T-SQL, PL/SQL, or equivalent).Hands-on experience writing data extraction scripts in Python, PowerShell, or similar scripting languages.Strong understanding of relational databases and ERP data structures.Experience working with Industrious ERP or similar ERP systems.Familiarity with ETL processes and tools (e.g., SSIS, Informatica, Talend) is a plus.Ability to interpret and document business requirements into technical solutions.Strong problem-solving skills and attention to detail.Preferred Qualifications:Experience with API-based data extraction (REST/SOAP).Exposure to BI/reporting tools like Power BI, Tableau, or Looker.Familiarity with cloud data platforms (e.g., Azure, AWS, Snowflake) is a bonus.Knowledge of manufacturing or industrial operations is a plus.

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