Position: Data Warehouse Developer(Informatica IDMC)
Location: McLean, VA 22102 (100% Remote)
Type:- Long term contract
Overview:
We are seeking a skilled Data Warehouse Developer to design, develop, and maintain scalable data warehouse solutions that support business analytics, reporting, and data-driven decision-making. The ideal candidate has strong experience with ETL/ELT processes, data modeling, SQL optimization, and modern cloud-based data platforms.
Key Responsibilities:
Design, build, and maintain enterprise data warehouse architectures and data marts
Develop and optimize ETL/ELT pipelines to integrate data from multiple source systems
Create and maintain dimensional and relational data models (star/snowflake schemas)
Write, tune, and optimize complex SQL queries, stored procedures, and views
Ensure data quality, accuracy, and consistency through validation and monitoring
Collaborate with data engineers, analysts, BI developers, and business stakeholders to gather requirements
Support reporting, dashboarding, and analytics needs across the organization
Implement performance tuning, indexing, and partitioning strategies
Manage data security, access controls, and compliance requirements
Document data models, pipelines, and warehouse architecture
Participate in Agile ceremonies including sprint planning, standups, and retrospectives
Strong Experience:-
Expertise in Informatica
SQL
IDMC (CDA, CD CAI)
Unit testing
Deployment
ETL Design & Development
AWS(Preferred)
Salesforce(SaaS) Preferred
Required Qualifications:
5+ years of experience as a Data Warehouse Developer or in a similar data-focused role
Advanced proficiency in SQL
Strong development experience with informatica IDMC CDI and CAI is required
Strong understanding of data warehousing concepts, including dimensional modeling
Experience working with large-scale datasets and performance optimization
Familiarity with Agile/Scrum development methodologies
Preferred / Nice-to-Have Skills:
Experience with cloud data platforms such as: AWS
Experience supporting machine learning or advanced analytics workloads
Understanding of data governance, metadata management, and lineage