Application Programming Interface (API), Cloud Storage, Consulting, Data Lake, Data Management, Data Modeling, Data Processing, Data Quality, Database Extract Transform and Load (ETL), Dimensional Modeling, Documentation, Error Handling, Metadata, Microsoft Windows Azure, NoSQL, Performance Tuning/Optimization, Reconciliation, SQL Databases, Validation Testing
Design and maintain conceptual, logical, and physical data models
Create dimensional models for analytics and reporting
Develop Fact and Dimension tables aligned with business requirements
Ensure data consistency, integrity, and standardization across datasetsDesign, develop, and maintain end to end ETL/ELT pipelines using Azure Data Factory
Build and optimize data processing workflows using Azure Databricks
Ingest data from multiple sources (SQL/NoSQL databases, APIs, flat files, cloud storage)
Implement incremental loads, error handling, logging, and monitoring
Optimize Spark jobs for performance, scalability, and cost efficiency
Manage data in Azure Data Lake (ADLS Gen2) or similar cloud storage
Collaborate with solution architects on data platform architecture
Implement data quality checks, validation rules, and reconciliation processes
Enforce data governance, security, and compliance standards
Support metadata management and lineage documentatione
eTeam Inc.
Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.