Technology Ventures

ETL Informatica Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Informatica Specialist with a contract length of "unknown," offering a pay rate of "unknown." Requires 5+ years of data analysis experience, ideally in multifamily real estate, advanced SQL skills, and proficiency in Informatica Cloud.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
October 28, 2025
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Unknown
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
McLean, VA
-
🧠 - Skills detailed
#BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Analysis #Cloud #SQL Server #SQL (Structured Query Language) #Data Profiling #Compliance #Monitoring #PostgreSQL #GCP (Google Cloud Platform) #Informatica IDQ (Informatica Data Quality) #RDBMS (Relational Database Management System) #Data Pipeline #Azure #MySQL #MongoDB #Visualization #Informatica Cloud #Statistics #Tableau #Informatica #Computer Science #Project Management #Data Science #R #Microsoft Power BI #Data Quality #Big Data #Data Modeling #Python #AWS (Amazon Web Services) #Databases #NoSQL
Role description
Required Skills & Qualifications β€’ Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Finance, Economics). β€’ 5+ years of experience as a Data Analyst, with at least 2 years in the multifamily real estate or mortgage industry. β€’ Deep understanding of multifamily business operations, property management, and mortgage processes. β€’ Advanced proficiency in SQL and experience working with RDBMS databases (MySQL, PostgreSQL, SQL Server, etc.). β€’ Hands-on experience with MongoDB and other NoSQL databases. β€’ Proven experience with Informatica Cloud, including strong knowledge of Informatica Data Quality (IDQ) for data profiling, cleansing, and monitoring. β€’ Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling. β€’ Proficiency in data visualization tools (e.g., Tableau, Power BI). β€’ Experience with ETL processes, data warehousing, and data pipeline development. β€’ Excellent communication skills, with the ability to translate complex data findings into actionable business insights. β€’ Ability to work independently and as part of a cross-functional team. Preferred Skills β€’ Experience with Python or R for data analysis. β€’ Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. β€’ Knowledge of regulatory requirements and compliance in the mortgage industry. β€’ Project management experience.